| Title | Pub. & Date |
|---|---|
| Hybrid-context-based multi-prior entropy modeling for learned lossless image compression | Pattern Recognition 2024 |
| Learned Lossless Image Compression based on Bit Plane Slicing | Pattern Recognition 2024 |
| Title | Pub. & Date |
|---|---|
| RAQ-VAE: Rate-Adaptive Vector-Quantized Variational Autoencoder | Arxiv 2024 |
| Title | Pub. & Date |
|---|---|
| A Quantization Loss Compensation Network for Remote Sensing Image Compression | PCS 2024 |
| Image and Video Tokenization with Binary Spherical Quantization | arXiv 2024 |
| NLIC: Non-uniform Quantization based Learned Image Compression | TCSVT 2024 |
| Title | Pub. & Date |
|---|---|
| DSCIC: Deep Screen Content Image Compression | TCSVT 2024 |
| Title | Pub. & Date |
|---|---|
| Learned HDR Image Compression for Perceptually Optimal Storage and Display | arXiv 2024 |
| Title | Pub. & Date |
|---|---|
| Implicit Neural Image Field for Biological Microscopy Image Compression | Arxiv 2024 |
| UniCompress: Enhancing Multi-Data Medical Image Compression with Knowledge Distillation | Arxiv 2024 |
✔2024 «🎯Back To Top»
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(SPL 2024) OMR-NET: A Two-Stage Octave Multi-Scale Residual Network for Screen Content Image Compression Jiang S, Ren T, Fu C, et al. paper
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(TPAMI 2024) I2C: Invertible Continuous Codec for High-Fidelity Variable-Rate Image Compression Cai, Shilv and Chen, Liqun and Zhang, Zhijun and Zhao, Xiangyun and Zhou, Jiahuan and Peng, Yuxin and Yan, Luxin and Zhong, Sheng and Zou, Xu paper
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(ICASSP 2024) Leveraging Redundancy in Feature for Efficient Learned Image CompressionN Qin, Peng and Bao, Youneng and Meng, Fanyang and Tan, Wen and Li, Chao and Wang, Genhong and Liang, Yongsheng paper
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(ICASSP 2024) RATE-QUALITY BASED RATE CONTROL MODEL FOR NEURAL VIDEO COMPRESSION Liao, Shuhong and Jia, Chuanmin and Fan, Hongfei and Yan, Jingwen and Ma, Siwei paper
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(ICASSP 2024) Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liangpaper
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(AAAI 2024) Make Lossy Compression Meaningful for Low-Light Images Cai, Shilv and Chen, Liqun and Zhong, Sheng and Yan, Luxin and Zhou, Jiahuan and Zou, Xu paper
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(AAAI 2024) End-to-End RGB-D Image Compression via Exploiting Channel-Modality Redundancy Zheng, Huiming and Gao, Wei paper
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(CVPR 2024) Towards Backward-Compatible Continual Learning of Image Compression Duan, Zhihao and Lu, Ming and Yang, Justin and He, Jiangpeng and Ma, Zhan and Zhu, Fengqing paper
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(NeurIPS 2024) Compression with bayesian implicit neural representations Guo, Zongyu and Flamich, Gergely and He, Jiajun and Chen, Zhibo and Hern{'a}ndez-Lobato, Jos{'e} Miguel paper
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(TIP 2024) Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression Liu, Xiangrui and Wang, Meng and Wang, Shiqi and Kwong, Sam paper
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(TMM 2024) Neural Network Coding of Difference Updates for Efficient Distributed Learning Communication Sheng, Xihua and Li, Li and Liu, Dong and Li, Houqiang paper
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(TCSVT 2024) FICNet: An End to End Network for Free-view Image Coding Yang, Chunhui and Yang, Jiayu and Zhai, Yongqi and Wang, Ronggangpaper
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(TCSVT 2024) GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming and Gao, Wen paper
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(TCSVT 2024) Multirate Progressive Entropy Model for Learned Image Compression Li, Chao and Yin, Shanzhi and Jia, Chuanmin and Meng, Fanyang and Tian, Yonghong and Liang, Yongsheng paper
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(TCSVT 2024) EUICN: An Efficient Underwater Image Compression Network Li, Mengyao and Shen, Liquan and Hua, Xia and Tian, Zhaoyi paper
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(TCSVT 2024) Rate-Distortion Optimized Cross Modal Compression with Multiple Domains Gao, Junlong and Jia, Chuanmin and Huang, Zhimeng and Wang, Shanshe and Ma, Siwei and Gao, Wen paper
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(ToMM 2024) Perceptual Quality-Oriented Rate Allocation via Distillation from End-to-End Image Compression Yang, Runyu and Liu, Dong and Ma, Siwei and Wu, Feng and Gao, Wen paper
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(TGRS 2024) Remote Sensing Image Compression Based on High-Frequency and Low-Frequency Components Xiang, Shao and Liang, Qiaokang paper
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(WCACV 2024) Neural Image Compression Using Masked Sparse Visual Representation Jiang, Wei and Wang, Wei and Chen, Yue paper
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(PCS 2024) CoCliCo: Extremely low bitrate image compression based on CLIP semantic and tiny color map Bachard, Tom and Bordin, Tom and Maugey, Thomas paper
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(IEVC 2024) The Effect of Edge Information in Stable Diffusion Applied to Image Coding Watanabe, Hiroshi and Chujoh, Takeshi and Fan, Zheming and Jin, Luoxu and Yasugi, Yukinobu and Ikai, Tomohiro and Hayami, Taiga and Hong, Sujun paper
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(SPL 2024) Enhancing High-Resolution Image Compression Through Local-Global Joint Attention MechanismJiang, Zeyu and Liu, Xiaohong and Li, Aini and Wang, Guangyupaper
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(SPL 2024) Learning-Based Image Compression With Parameter-Adaptive Rate-Constrained LossGuerin, Nilson D and da Silva, Renam Castro and Macchiavello, Brunopaper
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(ICASSP 2024) Fine color guidance in diffusion models and its application to image compression at extremely low bitratesBordin, Tom and Maugey, Thomaspaper
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(Arxiv 2024) On the Adversarial Robustness of Learning-based Image Compression Against Rate-Distortion AttacksWu, Chenhao and Wu, Qingbo and Wei, Haoran and Chen, Shuai and Wang, Lei and Ngan, King Ngi and Meng, Fanman and Li, Hongliangpaper
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(Arxiv 2024) Scalable Image Coding for Humans and Machines Using Feature Fusion NetworkLi, Junhui and Hou, Xingsongpaper
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(Arxiv 2024) Towards Task-Compatible Compressible Representations de Andrade, Anderson and Baji{'c}, Ivanpaper
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(Arxiv 2024) Enhancing Perception Quality in Remote Sensing Image Compression via Invertible Neural Network Li, Junhui and Hou, Xingsongpaper
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(Arxiv 2024) NLIC: Non-uniform Quantization based Learned Image Compression Ge, Ziqing and Ma, Siwei and Gao, Wen and Pan, Jingshan and Jia, Chuanminpaper
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(Arxiv 2024) Domain Adaptation for Learned Image Compression with Supervised AdaptersPresta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marcopaper
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(Arxiv 2024) 2D Gaussian Splatting for Image CompressionPingping Zhang, Xiangrui Liu, Meng Wang, Shiqi Wang, Sam Kwongpaper
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(Arxiv 2024) Domain Adaptation for Learned Image Compression with Supervised AdaptersPresta, Alberto and Spadaro, Gabriele and Tartaglione, Enzo and Fiandrotti, Attilio and Grangetto, Marcopaper
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(Arxiv 2024) Towards Extreme Image Compression with Latent Feature Guidance and Diffusion PriorLi, Zhiyuan and Zhou, Yanhui and Wei, Hao and Ge, Chenyang and Jiang, Jingwenpaper
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(Arxiv 2024) S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention ContextWang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haishengpaper
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(Arxiv 2024) Lossy Image Compression with Foundation Diffusion ModelsWRelic, Lucas and Azevedo, Roberto and Gross, Markus and Schroers, Christopherpaper
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(Arxiv 2024) Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End DecoderMa, Yiyang and Yang, Wenhan and Liu, Jiayingpaper
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(Arxiv 2024) Fine color guidance in diffusion models and its application to image compression at extremely low bitratesBordin, Tom and Maugey, Thomaspaper
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(Arxiv 2024) Human-Machine Collaborative Image Compression Method Based on Implicit Neural RepresentationsLi, Huanyang and Zhang, Xinfengpaper
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(Arxiv 2024) CGenerative Refinement for Low Bitrate Image Coding Using Vector Quantized ResidualKong, Yuzhuo and Lu, Ming and Ma, Zhanpaper
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(Arxiv 2024) Image and Video Compression using Generative Sparse Representation with Fidelity ControlsJiang, Wei and Wang, Weipaper
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(Arxiv 2024) Content-aware Masked Image Modeling Transformer for Stereo Image CompressionZhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Junpaper
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(Arxiv 2024) Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive QuantizationLuo, Jixiang and Wang, Yan and Qin, Hongweipaper
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(Arxiv 2024) Theoretical Bound-Guided Hierarchical VAE for Neural Image CodecsZhang, Yichi and Duan, Zhihao and Huang, Yuning and Zhu, Fengqingpaper
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(Arxiv 2024) Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage TransformerXue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siweipaper
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(Arxiv 2024) Enhancing the Rate-Distortion-Perception Flexibility of Learned Image Codecs with Conditional Diffusion DecodersMari, Daniele and Milani, Simonepaper
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(Arxiv 2024) Channel-wise Feature Decorrelation for Enhanced Learned Image CompressionPakdaman, Farhad and Gabbouj, Moncefpaper
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(Arxiv 2024) Overfitted image coding at reduced complexityBlard, Th{'e}ophile and Ladune, Th{'e}o and Philippe, Pierrick and Clare, Gordon and Jiang, Xiaoran and D{'e}forges, Olivierpaper
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(Arxiv 2024) Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity Lee, Hagyeong and Kim, Minkyu and Kim, Jun-Hyuk and Kim, Seungeon and Oh, Dokwan and Lee, Jaehopaper
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(Arxiv 2024) Transformer-based Learned Image Compression for Joint Decoding and Denoising Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardopaper
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(Arxiv 2024) Channel-wise Feature Decorrelation for Enhanced Learned Image Compression Pakdaman, Farhad and Gabbouj, Moncefpaper
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(Arxiv 2024) Super-High-Fidelity Image Compression via Hierarchical-ROI and Adaptive Quantization Luo, Jixiang and Wang, Yan and Qin, Hongweipaper
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(Arxiv 2024) S2LIC: Learned Image Compression with the SwinV2 Block, Adaptive Channel-wise and Global-inter Attention Context Wang, Yongqiang and Liang, Feng and Liang, Jie and Fu, Haishengpaper
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(Arxiv 2024) Content-aware Masked Image Modeling Transformer for Stereo Image Compression Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Junpaper
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(Arxiv 2024) Probing Image Compression For Class-Incremental Learning Yang, Justin and Duan, Zhihao and Peng, Andrew and Huang, Yuning and He, Jiangpeng and Zhu, Fengqingpaper
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(Arxiv 2024) Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets Kamisli, Fatih and Racape, Fabien and Choi, Hyomin paper
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(Arxiv 2024) Channel-wise Feature Decorrelation for Enhanced Learned Image Compression Pakdaman, Farhad and Gabbouj, Moncef paper
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(Arxiv 2024) Exploration of Learned Lifting-Based Transform Structures for Fully Scalable and Accessible Wavelet-Like Image Compression Li, Xinyue and Naman, Aous and Taubman, David paper
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(Arxiv 2024) Powerful Lossy Compression for Noisy Images Cai, Shilv and Liang, Xiaoguo and Cao, Shuning and Yan, Luxin and Zhong, Sheng and Chen, Liqun and Zou, Xu paper
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(Arxiv 2024) Enhancing Adversarial Training with Prior Knowledge Distillation for Robust Image Compression Zhi, Cao and Youneng, Bao and Fanyang, Meng and Chao, Li and Wen, Tan and Genhong, Wang and Yongsheng, Liang paper
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(Arxiv 2024) Image Coding for Machines with Edge Information Learning Using Segment Anything Shindo, Takahiro and Yamada, Kein and Watanabe, Taiju and Watanabe, Hiroshi paper
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(Arxiv 2024) Resilience of Entropy Model in Distributed Neural Networks Zhang, Milin and Abdi, Mohammad and Rifat, Shahriar and Restuccia, Francescopaper
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(Arxiv 2024) Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer Xue, Naifu and Mao, Qi and Wang, Zijian and Zhang, Yuan and Ma, Siweipaper
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(Arxiv 2024) Content-aware Masked Image Modeling Transformer for Stereo Image Compression Zhang, Xinjie and Gao, Shenyuan and Liu, Zhening and Ge, Xingtong and He, Dailan and Xu, Tongda and Wang, Yan and Zhang, Junpaper
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(Arxiv 2024) GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting Zhang, Xinjie and Ge, Xingtong and Xu, Tongda and He, Dailan and Wang, Yan and Qin, Hongwei and Lu, Guo and Geng, Jing and Zhang, Junpaper
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(Arxiv 2024) Wavelet-Like Transform-Based Technology in Response to the Call for Proposals on Neural Network-Based Image Coding Dong, Cunhui and Ma, Haichuan and Zhang, Haotian and Gao, Changsheng and Li, Li and Liu, Dongpaper
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(Arxiv 2024) Region-Adaptive Transform with Segmentation Prior for Image Compression Liu, Yuxi and Yang, Wenhan and Bai, Huihui and Wei, Yunchao and Zhao, Yaopaper
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(Arxiv 2024) LEARNED IMAGE COMPRESSION WITH TEXT QUALITY ENHANCEMENT Lai, Chih-Yu and Tran, Dung and Koishida, Kazuhitopaper
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(Arxiv 2024) Variable-Rate Learned Image Compression with Multi-Objective Optimization and Quantization-Reconstruction Offsets Kamisli, Fatih and Racape, Fabien and Choi, Hyominpaper
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(Arxiv 2024) End-to-End Optimized Image Compression with the Frequency-Oriented Transform Zhang, Yuefeng and Lin, Kai paper
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(Arxiv 2024) Learned Image Compression with ROI-Weighted Distortion and Bit Allocation Jiang, Wei and Zhai, Yongqi and Li, Hangyu and Wang, Ronggang paper
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(Arxiv 2024) Semantic Ensemble Loss and Latent Refinement for High-Fidelity Neural Image Compression Li, Daxin and Bai, Yuanchao and Wang, Kai and Jiang, Junjun and Liu, Xianming paper
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(Arxiv 2024) FLLIC: Functionally Lossless Image Compression Zhang, Xi and Wu, Xiaolin paper
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(Arxiv 2024) Fast Implicit Neural Representation Image Codec in Resource-limited Devices Liu, Xiang and Chen, Jiahong and Chen, Bin and Liu, Zimo and An, Baoyi and Xia, Shu-Tao paper
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(Arxiv 2024) Robustly overfitting latents for flexible neural image compression Perugachi-Diaz, Yura and Gansekoele, Arwin and Bhulai, Sandjai paper
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(Arxiv 2024) Saliency-aware End-to-end Learned Variable-Bitrate 360-degree Image Compression Gungordu, Oguzhan and Tekalp, A Murat paper
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(Arxiv 2024) Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs Xie, Yuxin and Yu, Li and Pakdaman, Farhad and Gabbouj, Moncefpaper
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(Arxiv 2024) LEARNED COMPRESSION OF ENCODING DISTRIBUTIONS Ulhaq, Mateen and Bajic, Ivan Vpaper
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(Arxiv 2024) Transformer-based Learned Image Compression for Joint Decoding and Denoising Chen, Yi-Hsin and Ho, Kuan-Wei and Tsai, Shiau-Rung and Lin, Guan-Hsun and Gnutti, Alessandro and Peng, Wen-Hsiao and Leonardi, Riccardopaper
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(VICP 2024) Flexible Coding Order for Learned Image Compression Li, Yuqi and Zhang, Haotian and Liu, Dong paper
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(VICP 2024) Variable-rate Learned Image Compression with Adaptive Quantization Step Size Mei, Feihong and Li, Li and Liu, Dong paper
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(VICP 2024) Learned Progressive Image Compression With Spatial Autoregression Li, Hangyu and Jiang, Wei and Li, Litian and Zhai, Yongqi and Wang, Ronggang paper
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(VICP 2024) Hybrid Implicit Neural Image Compression with Subpixel Context Model and Iterative Pruner Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai paper
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(VICP 2024) Learned Progressive Image Compression With Spatial Autoregression Tian, Wenxin and Li, Shaohui and Dai, Wenrui and Lu, Cewu and Hu, Weisheng and Zhang, Lin and Du, Junfeng and Xiong, Hongkai paper
✔2023 «🎯Back To Top»
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(NeurIPS 2023) Towards efficient image compression without autoregressive models Ali, Muhammad Salman and Kim, Yeongwoong and Qamar, Maryam and Lim, Sung-Chang and Kim, Donghyun and Zhang, Chaoning and Bae, Sung-Ho and Kim, Hui Yong paper
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(NeurIPS 2023) LUT-LIC: Look-Up Table-Assisted Learned Image Compression Yu, SeungEun and Lee, Jong-Seokpaper
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(ACMMM 2023) Toward Scalable Image Feature Compression: A Content-Adaptive and Diffusion-Based Approach Guo, Sha and Chen, Zhuo and Zhao, Yang and Zhang, Ning and Li, Xiaotong and Duan, Lingyu paper
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(ACMMM 2023) Nif: A fast implicit image compression with bottleneck layers and modulated sinusoidal activations Catania, Lorenzo and Allegra, Dario paper
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(ACMMM 2023) Lambda-Domain Rate Control for Neural Image Compression Xue, Naifu and Zhang, Yuan paper
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(ACMMM 2023) MLIC: Multi-Reference Entropy Model for Learned Image Compression Jiang, Wei and Yang, Jiayu and Zhai, Yongqi and Ning, Peirong and Gao, Feng and Wang, Ronggang paper
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(ACMMM 2023) ELFIC: A Learning-based Flexible Image Codec with Rate-Distortion-Complexity Optimization Zhang, Zhichen and Chen, Bolin and Lin, Hongbin and Lin, Jielian and Wang, Xu and Zhao, Tiesong paper
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(ACMMM 2023) ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision Liu, Lei and Hu, Zhihao and Chen, Zhenghao and Xu, Dong paper
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(TIP 2023) Learned Image Compression Using Cross-Component Attention Mechanism Duan, Wenhong and Chang, Zheng and Jia, Chuanmin and Wang, Shanshe and Ma, Siwei and Song, Li and Gao, Wen paper
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(TIP 2023) Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision Mao, Qi and Wang, Chongyu and Wang, Meng and Wang, Shiqi and Chen, Ruijie and Jin, Libiao and Ma, Siwei paper
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(CVPR 2023) Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression Shen, Sheng and Yue, Huanjing and Yang, Jingyu paper
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(CVPR 2023) Context-Based Trit-Plane Coding for Progressive Image Compression Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su paper
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(CVPR 2023) Transtic: Transferring transformer-based image compression from human perception to machine perception Chen, Yi-Hsin and Weng, Ying-Chieh and Kao, Chia-Hao and Chien, Cheng and Chiu, Wei-Chen and Peng, Wen-Hsiao paper
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(TAI 2023) Manipulation Attacks on Learned Image Compression Liu, Kang and Wu, Di and Wu, Yangyu and Wang, Yiru and Feng, Dan and Tan, Benjamin and Garg, Siddharthpaper
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(ICIP 2023) A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongshengpaper
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(ICIP 2023) NUCQ: Non-Uniform Conditional Quantization for Learned Image Compression Ge, Ziqing and Jia, Chuanmin and Ma, Siwei and Gao, Wepaper
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(ICIP 2023) End-to-End Learning-based Image Compression with A Decoupled Framework Zhang, Zhaobin and Esenlik, Semih and Wu, Yaojun and Wang, Meng and Zhang, Kai and Zhang, Lipaper
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(ICIP 2023) Advancing the Rate-Distortion-Computation Frontier for Neural Image Compression Minnen, David and Johnston, Nickpaper
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(ICIP 2023) Efficient Pruning Method for Learned Lossy Image Compression Models Based on Side Information LChen, Weixuan and Yang, Qianqianpaper
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(ICIP 2023) Content-Adaptive Parallel Entropy Coding for End-to-End Image Compression Li, Shujia and Wang, Dezhao and Fan, Zejia and Liu, Jiayingpaper
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(ICIP 2023) Edge-Guided Remote-Sensing Image Compression Han, Pengfei and Zhao, Bin and Li, Xuelong paper
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(ICIP 2023) Learned Image Compression Guided Adaptive Quantization for Perceptual Quality Chen, Cheng and Geng, Ruiqi and Li, Bohan and Ustarroz-Calonge, Maryla and Galligan, Frank and Han, Jingning and Xu, Yaowu paper
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(ICIP 2023) Unified Learning-Based Lossy and Lossless Jpeg Recompression J. Zhang et al. paper
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(ICIP 2023) ULcompress: A Unified low bit-rate image Compression Framework via Invertible Image Representation F. Gao, X. Deng, C. Gao and M. Xu paper
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(ICIP 2023) Learned Image Compression with Multi-Scan Based Channel Fusion Y. Li, W. Zhou, P. Lu and S. -i. Kamata, paper
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(ICIP 2023) Integer Quantized Learned Image Compression G. -W. Jeon, S. Yu and J. -S. Lee paper
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(ICIP 2023) A Decoupled Spatial-Channel Inverted Bottleneck For Image Compression Hu, Yuting and Tan, Wen and Meng, Fanyang and Liang, Yongsheng paper
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(ICIP 2023) Learned Image Compression with Large Capacity and Low Redundancy of Latent Representation Meng, Xiandong and Zhu, Shuyuan and Ma, Siwei and Zeng, Bing paper
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(ICIP 2023) An Improved Upper Bound on the Rate-Distortion Function of Images Duan, Zhihao and Ma, Jack and He, Jiangpeng and Zhu, Fengqingpaper
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(ICIP 2023) AICT: An Adaptive Image Compression Transformer Ghorbel, Ahmed and Hamidouche, Wassim and Morin, Lucepaper
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(WACV 2023) Neural Distributed Image Compression with Cross-Attention Feature Alignment Mital, Nitish and {"O}zyilkan, Ezgi and Garjani, Ali and G{"u}nd{"u}z, Denizpaper
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(VCIP 2023) Image Data Hiding in Neural Compressed Latent Representations Huang, Chen-Hsiu and Wu, Ja-Lingpaper
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(VICP 2023) EVC: TOWARDS REAL-TIME NEURAL IMAGE COMPRESSION WITH MASK DECA Wang, Guo-Hua and Li, Jiahao and Li, Bin and Lu, Yan paper
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(VICP 2023) A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen paper
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(ICASSP 2023) A Novel Cross-Component Context Model for End-to-End Wavelet Image Coding Meyer, Anna and Kaup, Andr{'e} paper
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(TCSVT 2024) Lightweight Context Model Equipped aiWave in Response to the AVS Call for Evidence on Volumetric Medical Image Coding Xue, Dongmei and Li, Li and Liu, Dong and Li, Houqiang paper
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(TCSVT 2023) MASIC: Deep Mask Stereo Image Compression Deng, Xin and Deng, Yufan and Yang, Ren and Yang, Wenzhe and Timofte, Radu and Xu, Mai paper
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(TCSVT 2023) Extremely Low Bit-rate Image Compression via Invertible Image Generation Gao, Fangyuan and Deng, Xin and Jing, Junpeng and Zou, Xin and Xu, Mai paper
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(TCSVT 2023) Task-Switchable Pre-Processor for Image Compression for Multiple Machine Vision Tasks Yang, Mingyi and Yang, Fei and Murn, Luka and Blanch, Marc Gorriz and Sock, Juil and Wan, Shuai and Yang, Fuzheng and Herranz, Luis paper
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(TCSVT 2023) Rethinking semantic image compression: Scalable representation with cross-modality transfer Zhang, Pingping and Wang, Shiqi and Wang, Meng and Li, Jiguo and Wang, Xu and Kwong, Sam paper
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(TCSVT 2023) Facial Image Compression via Neural Image Manifold Compression Yang, Wenhan and Huang, Haofeng and Liu, Jiaying and Kot, Alex C. paper
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(TCSVT 2023) Sketch Assisted Face Image Coding for Human and Machine Vision: a Joint Training Approach. Fang, Xin and Duan, Yiping and Du, Qiyuan and Tao, Xiaoming and Li, Fan paper
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(ICCV 2023) COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability Park, Jongmin and Lee, Jooyoung and Kim, Munchurl paper
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(ICCV 2023) AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing Tao, Lvfang and Gao, Wei and Li, Ge and Zhang, Chenhao paper
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(WCACV 2023) Controlling Rate, Distortion, and Realism: Towards a Single Comprehensive Neural Image Compression Model Iwai, Shoma and Miyazaki, Tomo and Omachi, Shinichiro paper
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(Arxiv 2023) EGIC: Enhanced Low-Bit-Rate Generative Image Compression Guided by Semantic Segmentation K{"o}rber, Nikolai and Kromer, Eduard and Siebert, Andreas and Hauke, Sascha and Mueller-Gritschneder, Daniel paper
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(Arxiv 2023) A Training-Free Defense Framework for Robust Learned Image Compression Song, Myungseo and Choi, Jinyoung and Han, Bohyung paper
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(Arxiv 2023) FFCA-Net: Stereo Image Compression via Fast Cascade Alignment of Side InformationXia, Yichong and Huang, Yujun and Chen, Bin and Wang, Haoqian and Wang, Yaoweipaper
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(Arxiv 2023) Another Way to the Top: Exploit Contextual Clustering in Learned Image CodingZhang, Yichi and Duan, Zhihao and Lu, Ming and Ding, Dandan and Zhu, Fengqing and Ma, Zhanpaper
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(Arxiv 2023) Attack and Defense Analysis of Learned Image CompressionZhu, Tianyu and Sun, Heming and Xiong, Xiankui and Zhu, Xuanpeng and Gong, Yong and Fan, Yibo and otherspaper
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(Arxiv 2023) Fast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation Fu, Haisheng and Liang, Feng and Liang, Jie and Wang, Yongqiang and Zhang, Guohe and Han, Jingning paper
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(Arxiv 2023) Multi-Context Dual Hyper-Prior Neural Image Compression Khoshkhahtinat, Atefeh and Zafari, Ali and Mehta, Piyush M and Akyash, Mohammad and Kashiani, Hossein and Nasrabadi, Nasser M paper
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(Arxiv 2023) On Uniform Scalar Quantization for Learned Image Compression Zhang, Haotian and Li, Li and Liu, Dongpaper
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(Arxiv 2023) Frequency-Aware Transformer for Learned Image Compression Li, Han and Li, Shaohui and Dai, Wenrui and Li, Chenglin and Zou, Junni and Xiong, Hongkaipaper
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(Arxiv 2023) Perceptual Image Compression with Cooperative Cross-Modal Side Information Qin, Shiyu and Chen, Bin and Huang, Yujun and An, Baoyi and Dai, Tao and Via, Shu-Taopaper
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(Arxiv 2023) Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression Qin, Shiyu and Zhou, Yimin and Wang, Jinpeng and Chen, Bin and An, Baoyi and Dai, Tao and Xia, Shu-Taopaper
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(Arxiv 2023) Exploring the Rate-Distortion-Complexity Optimization in Neural Image Compression Gao, Yixin and Feng, Runsen and Guo, Zongyu and Chen, Zhibopaper
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(JVCIR 2023) Corner-to-Center long-range context model for efficient learned image compression LSui, Yang and Ding, Ding and Pan, Xiang and Xu, Xiaozhong and Liu, Shan and Yuan, Bo and Chen, Zhenzhongpaper
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(VICP 2023) A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen paper
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(TMI 2023) A Near Lossless Learned Image Coding Network Quantization Approach for Cross-Platform Inference Hang, Xinyu and Jia, Chuanmin and Ma, Siwei and Gao, Wen paper
✔2022 «🎯Back To Top»
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(PCS 2022) Reducing The Amortization Gap of Entropy Bottleneck In End-to-End Image Compression Balcilar, Muhammet and Damodaran, Bharath and Hellier, Pierre paper e
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(CVPR workshop 2022) Self-Supervised Variable Rate Image Compression using Visual Attention Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyotipaper
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(CVPR workshop 2022) RDONet: Rate-Distortion Optimized Learned Image Compression with Variable Depth Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{'e} paper
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(Arxiv 2022) Transformations in Learned Image Compression from Modulation Perspective Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng paper
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(Arxiv 2022) Flexible Neural Image Compression via Code Editing Gao, Chenjian and Xu, Tongda and He, Dailan and Qin, Hongwei and Wang, Yan paper
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(Arxiv 2022) Attention-Based Generative Neural Image Compression on Solar Dynamics Observatory Zafari, Ali and Khoshkhahtinat, Atefeh and Mehta, Piyush M and Nasrabadi, Nasser M and Thompson, Barbara J and da Silva, Daniel and Kirk, Michael SFpaper
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(Arxiv 2022) Progressive Deep Image Compression for Hybrid Contexts of Image Classification and Reconstruction Lei, Zhongyue and Duan, Peng and Hong, Xuemin and Mota, Jo{~a}o FC and Shi, Jianghong and Wang, Cheng-Xiang paper
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(CVPRW 2022) Universal Deep Image Compression via Content-Adaptive Optimization with Adapters Tsubota, Koki and Akutsu, Hiroaki and Aizawa, Kiyoharu paper
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(CVPRW 2022) User-Guided Variable Rate Learned Image Compression Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeeppaper
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(CVPRW 2022) Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression L{"o}hdefink, Jonas and Sitzmann, Jonas and B{"a}r, Andreas and Fingscheidt, Tim paper
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(TIP 2022) OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression Bidgoli, Navid Mahmoudian and Roberto, G de A and Maugey, Thomas and Roumy, Aline and Frossard, Pascal paper
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(AAAI 2022) Two-Stage Octave Residual Network for End-to-End Image Compression Chen, Fangdong and Xu, Yumeng and Wang, Li paper
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(Arxiv 2022) Preprocessing Enhanced Image Compression for Machine Vision Lu, Guo and Ge, Xingtong and Zhong, Tianxiong and Geng, Jing and Hu, Qiang paper
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(Arxiv 2022) Learning-Driven Lossy Image Compression; A Comprehensive Survey Jamil, Sonain and Piran, Md and others paper
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(Arxiv 2022) Estimating the Resize Parameter in End-to-end Learned Image Compression Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{'a}{\v{s}} and Bovik, Alan C paper
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(Arxiv 2022) Image Compression with Product Quantized Masked Image Modeling El-Nouby, Alaaeldin and Muckley, Matthew J and Ullrich, Karen and Laptev, Ivan and Verbeek, Jakob and J{'e}gou, Herv{'e} paper
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(ITJ 2022) Human–Machine Interaction-Oriented Image Coding for Res8ource-Constrained Visual Monitoring in IoT Wang, Zixi and Li, Fan and Xu, Jing and Cosman, Pamela C paper
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(TGRS 2022) Towards simultaneous image compression and indexing for scalable content-based retrieval in remote sensing Sumbul, Gencer and Xiang, Jun and Demir, Beg{"u}m paper
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(SPI 2022) Rate-constrained learning-based image compression paper
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(TIP 2022) Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression Chen, Zhenghao and Gu, Shuhang and Lu, Guo and Xu, Dong paper lossless
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(Arxiv 2022) Entroformer: A transformer-based entropy model for learned image compression Qian, Yichen and Lin, Ming and Sun, Xiuyu and Tan, Zhiyu and Jin, Rong paper
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(Arxiv 2022) Multi-Sample Training for Neural Image Compression Xu, Tongda and Wang, Yan and He, Dailan and Gao, Chenjian and Gao, Han and Liu, Kunzan and Qin, Hongwei paper
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(CVPR 2022) ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding He, Dailan and Yang, Ziming and Peng, Weikun and Ma, Rui and Qin, Hongwei and Wang, Yan paper
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(ECCV 2022) Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard paper
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(ECCV 2022) Contextformer: A Transformer with Spatio-Channel Attention for Context Modeling in Learned Image Compression Koyuncu, A Burakhan and Gao, Han and Boev, Atanas and Gaikov, Georgii and Alshina, Elena and Steinbach, Eckehard paper
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(ECCV 2022) Content-Oriented Learned Image Compression Li, Meng and Gao, Shangyin and Feng, Yihui and Shi, Yibo and Wang, Jing paper
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(ECCV 2022) Implicit Neural Representations for Image Compression Str{"u}mpler, Yannick and Postels, Janis and Yang, Ren and Gool, Luc Van and Tombari, Federico paper
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(ECCV 2022) Content Adaptive Latents and Decoder for Neural Image Compression Pan, Guanbo and Lu, Guo and Hu, Zhihao and Xu, Dong paper
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(ECCV 2022) Optimizing Image Compression via Joint Learning with Denoising Cheng, Ka Leong and Xie, Yueqi and Chen, Qifeng paper denoising
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(2022) 2C-Net: Integrate Image Compression and Classification via Deep Neural Network Liu, Linfeng and Chen, Tong and Liu, Haojie and Pu, Shiliang and Wang, Li and Shen, Qiu paper
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(ACMMM 2022) High-Fidelity Variable-Rate Image Compression via Invertible Activation Transformation Cai, Shilv and Zhang, Zhijun and Chen, Liqun and Yan, Luxin and Zhong, Sheng and Zou, Xu [paper]
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(arxiv 2022) Deep Lossy Plus Residual Coding for Lossless and Near-lossless Image Compression Bai, Yuanchao and Liu, Xianming and Wang, Kai and Ji, Xiangyang and Wu, Xiaolin and Gao, Wen [paper]
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(TCSVT 2022) End-to-End Optimized Image Compression With Deep Gaussian Process Regression Cao, Maida and Dai, Wenrui and Li, Shaohui and Li, Chenglin and Zou, Junni and Chen, Ying and Xiong, Hongkai [paper]
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(TIP 2022) End-to-end optimized 360° image compression Li, Mu and Li, Jinxing and Gu, Shuhang and Wu, Feng and Zhang, David [paper]
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(arxiv 2022) Lossy Compression with Gaussian Diffusion Theis, Lucas and Salimans, Tim and Hoffman, Matthew D and Mentzer, Fabian [paper]
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(arxiv 2022) Joint Image Compression and Denoising via Latent-Space Scalability Alvar, Saeed Ranjbar and Ulhaq, Mateen and Choi, Hyomin and Baji{'c}, Ivan V [paper]
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(arxiv 2022) Post-Training Quantization for Cross-Platform Learned Image Compression He, Dailan and Yang, Ziming and Chen, Yuan and Zhang, Qi and Qin, Hongwei and Wang, Yan [paper]
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(ICASSP 2022) Satellite Image Compression and Denoising With Neural Networks Yin, Shanzhi and Li, Chao and Bao, Youneng and Liang, Yongsheng and Meng, Fanyang and Liu, Wei [paper]
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(ICASSP 2022) AdderIC: Towards Low Computation Cost Image Compression Li, Bowen and Xin, Yao and Li, Chao and Bao, Youneng and Meng, Fanyang and Liang, Yongsheng [paper]
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(IEEE Geoscience and Remote Sensing Letters 2022) Universal Efficient Variable-Rate Neural Image Compression de Oliveira, Vinicius Alves and Chabert, Marie and Oberlin, Thomas and Poulliat, Charly and Bruno, Mickael and Latry, Christophe and Carlavan, Mikael and Henrot, Simon and Falzon, Frederic and Camarero, Roberto [paper]
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(CVPR 2022) The Devil Is in the Details: Window-Based Attention for Image Compression Zou, Renjie and Song, Chunfeng and Zhang, Zhaoxiang paper
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(CVPR 2022) Joint Global and Local Hierarchical Priors for Learned Image Compression, Kim, Jun-Hyuk and Heo, Byeongho and Lee, Jong-Seok [paper] (E)
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(CVPR 2022) RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding Zhou, Xuanyu and Qi, Charles R and Zhou, Yin and Anguelov, Dragomir [paper]
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(CVPR 2022) Neural Data-Dependent Transform for Learned Image Compression Wang, Dezhao and Yang, Wenhan and Hu, Yueyu and Liu, Jiaying [paper]
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(CVPRW 2022) Self-Supervised Variable Rate Image Compression using Visual Attention Sinha, Abhishek Kumar and Moorthi, S Manthira and Dhar, Debajyoti [paper]
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(CVPRW 2022) User-Guided Variable Rate Learned Image Compression Gupta, Rushil and BV, Suryateja and Kapoor, Nikhil and Jaiswal, Rajat and Nangi, Sharmila Reddy and Kulkarni, Kuldeep [paper]
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(CVPR 2022) RDONet: Rate-Distortion Optimized Learned Image Compression With Variable Depth Brand, Fabian and Fischer, Kristian and Kopte, Alexander and Windsheimer, Marc and Kaup, Andr{'e}. [paper]
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(CVPR 2022) LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network Rhee, Hochang and Jang, Yeong Il and Kim, Seyun and Cho, Nam Ik. [paper]
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(CVPR 2022) PO-ELIC: Perception-Oriented Efficient Learned Image Coding He, Dailan and Yang, Ziming and Yu, Hongjiu and Xu, Tongda and Luo, Jixiang and Chen, Yuan and Gao, Chenjian and Shi, Xinjie and Qin, Hongwei and Wang, Yan. [paper]
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(CVPR 2022) Online Meta Adaptation for Variable-Rate Learned Image Compression Jiang, Wei and Wang, Wei and Li, Songnan and Liu, Shan. [paper]
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(CVPR 2022) Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao. [paper]
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(CVPR 2022) Split Hierarchical Variational Compression Ryder, Tom and Zhang, Chen and Kang, Ning and Zhang, Shifeng. [paper]
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(CVPR 2022) SASIC: Stereo Image Compression With Latent Shifts and Stereo Attention W{"o}dlinger, Matthias and Kotera, Jan and Xu, Jan and Sablatnig, Robert. [paper]
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(CVPR 2022) Deep Stereo Image Compression via Bi-directional Coding, Lei, Jianjun and Liu, Xiangrui and Peng, Bo and Jin, Dengchao and Li, Wanqing and Gu, Jingxiao [paper]
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(AAAI 2022) OoDHDR-Codec: Out-of-Distribution Generalization for HDR Image Compression, Cao, Linfeng and Jiang, Aofan and Li, Wei and Wu, Huaying and Ye, Nanyang [paper] (HDR)
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(arXiv preprint 2022) Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression, Zhu, Xiaosu and Song, Jingkuan and Gao, Lianli and Zheng, Feng and Shen, Heng Tao [paper][code] (E)
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(arXiv preprint 2022) Estimating the Resize Parameter in End-to-end Learned Image Compression, Chen, Li-Heng and Bampis, Christos G and Li, Zhi and Krasula, Luk{'a}{\v{s}} and Bovik, Alan C [paper][code] (Sa)
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(arXiv preprint 2022) DeepFGS: Fine-Grained Scalable Coding for Learned Image Compression, Ma, Yi and Zhai, Yongqi and Wang, Ronggang [paper](Sa)
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(arXiv preprint 2022) End-to-End Learned Block-Based Image Compression with Block-Level Masked Convolutions and Asymptotic Closed Loop Training, Kamisli, Fatih [paper] (T+E)
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(arXiv preprint 2022) Transformations in Learned Image Compression from Modulation Perspective, Bao, Youneng and Meng, Fangyang and Tan, Wen and Li, Chao and Tian, Yonghong and Liang, Yongsheng [paper]
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(arXiv preprint 2022) Identity Preserving Loss for Learned Image Compression, Xiao, Jiuhong and Aggarwal, Lavisha and Banerjee, Prithviraj and Aggarwal, Manoj and Medioni, Gerard [paper]
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(arXiv preprint 2022) High-Efficiency Lossy Image Coding Through Adaptive Neighborhood Information Aggregation, Lu, Ming and Ma, Zhan [paper] (E)
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(arXiv preprint 2022) Learning Weighting Map for Bit-Depth Expansion within a Rational Range, Liu, Yuqing and Jia, Qi and Zhang, Jian and Fan, Xin and Wang, Shanshe and Ma, Siwei and Gao, Wen [paper] [code]
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(arXiv preprint 2022) Joint Image Compression and Denoising via Latent-Space Scalability, Ranjbar Alvar, Saeed and Ulhaq, Mateen and Choi, Hyomin and Baji{'c}, Ivan V [paper]
✔2021 «🎯Back To Top»
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(TPAMI 2021) Learning end-to-end lossy image compression: A benchmark, Hu, Yueyu and Yang, Wenhan and Ma, Zhan and Liu, Jiaying [paper] [code](Benchmark)
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(IJCV 2021) Semantics-to-signal scalable image compression with learned revertible representations, Liu, Kang and Liu, Dong and Li, Li and Yan, Ning and Li, Houqiang [paper][code] (Scalable)
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(TIP 2021) Semantic Perceptual Image Compression With a Laplacian Pyramid of Convolutional Networks, Wang, Juan and Duan, Yiping and Tao, Xiaoming and Xu, Mai and Lu, Jianhua [paper]
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(ICLR 2021) Hierarchical Image Compression Framework, Ge, Yunying and Wang, Jing and Shi, Yibo and Gao, Shangyin [paper]
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(ICCV 2021) Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform, Song, Myungseo and Choi, Jinyoung and Han, Bohyung [paper] (E)
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(CVPR 2021) Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation, Cui, Ze and Wang, Jing and Gao, Shangyin and Guo, Tiansheng and Feng, Yihui and Bai, Bo [paper] [code](VR)
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(CVPR 2021) Checkerboard context model for efficient learned image compression, He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei [paper] [code1] [code] (E)
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(CVPR 2021) Learning scalable ly=-constrained near-lossless image compression via joint lossy image and residual compression, Bai, Yuanchao and Liu, Xianming and Zuo, Wangmeng and Wang, Yaowei and Ji, Xiangyang [paper] [code](lossless)
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(CVPRW 2021) End-to-end optimized image compression with competition of prior distributions, Brummer, Benoit and De Vleeschouwer, Christophe [paper] [code](E)
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(CVPRW 2021) Subjective Quality Optimized Efficient Image Compression, Wang, Xining and Chen, Tong and Ma, Zhan [paper] [code](perceptual)
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(CVPRW 2021) Variable Rate ROI Image Compression Optimized for Visual Quality, Ma, Yi and Zhai, Yongqi and Yang, Chunhui and Yang, Jiayu and Wang, Ruofan and Zhou, Jing and Li, Kai and Chen, Ying and Wang, Ronggang [paper](VR)
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(CVPRW 2021) Image Compression with Recurrent Neural Network and Generalized Divisive Normalization, Islam, Khawar and Dang, L Minh and Lee, Sujin and Moon, Hyeonjoon [paper][code]
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(CVPRW 2021) End-to-End Learned Image Compression with Augmented Normalizing Flows, Ho, Yung-Han and Chan, Chih-Chun and Peng, Wen-Hsiao and Hang, Hsueh-Ming [paper][code]
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(CVPRW 2021) Learned Image Compression with Super-Resolution Residual Modules and DISTS Optimization, Suzuki, Akifumi and Akutsu, Hiroaki and Naruko, Takahiro and Tsubota, Koki and Aizawa, Kiyoharu [paper] (Perceptual)
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(CVPRW 2021) Perceptual Friendly Variable Rate Image Compression, Gao, Yixin and Wu, Yaojun and Guo, Zongyu and Zhang, Zhizheng and Chen, Zhibo [paper] (VR+Perceptual)
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(WACV 2021) Saliency Driven Perceptual Image Compression, Patel, Yash and Appalaraju, Srikar and Manmatha, R [paper] (perceputal)
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(TCSVT 2021) Causal contextual prediction for learned image compression, Guo, Zongyu and Zhang, Zhizheng and Feng, Runsen and Chen, Zhibo [paper] (E)
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(TCSVT 2021) Learned Block-based Hybrid Image Compression, Wu, Yaojun and Li, Xin and Zhang, Zhizheng and Jin, Xin and Chen, Zhibo [paper] (T+E)
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(ACMMM 2021) Enhanced Invertible Encoding for Learned Image Compression, Yueqi Xie, Ka Leong Cheng, Qifeng Chen [paper] [code] (Invertible)
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(ACMMM 2021) Semantic Scalable Image Compression with Cross-Layer Priors, Tu, Hanyue and Li, Li and Zhou, Wengang and Li, Houqiang [paper] (Scalable)
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(ACMMM 2021) Interpolation Variable Rate Image Compression, Sun, Zhenhong and Tan, Zhiyu and Sun, Xiuyu and Zhang, Fangyi and Qian, Yichen and Li, Dongyang and Li, Hao [paper] (VR)
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(TMM 2021) Learned Multi-Resolution Variable-Rate Image Compression With Octave-Based Residual Blocks, Akbari, Mohammad and Liang, Jie and Han, Jingning and Tu, Chengjie [paper] (VR)
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(DCC 2021) Accelerate Neural Image Compression with Channel-adaptive Arithmetic Coding, uo, Zongyu and Fu, Jun and Feng, Runsen and Chen, Zhibo [paper]
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(ICIP 2021) Graph-Convolution Network for Image Compression, Yang, Chunhui and Ma, Yi and Yang, Jiayu and Liu, Shiyi and Wang, Ronggang [paper]
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(PMLR 2021) Soft then hard: Rethinking the quantization in neural image compression, Z Guo，Z Zhang，R Feng，Z Chen [paper]
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(arXiv preprint 2021) Learned Image Compression for Machine Perception, Codevilla, Felipe and Simard, Jean Gabriel and Goroshin, Ross and Pal, Chris [paper] (Perceptual)
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(arXiv preprint 2021) Substitutional Neural Image Compression, Wang, Xiao and Jiang, Wei and Wang, Wei and Liu, Shan and Kulis, Brian and Chin, Peter [paper] (VR)
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(arXiv preprint 2021) DPICT: Deep Progressive Image Compression Using Trit-Planes, Lee, Jae-Han and Jeon, Seungmin and Choi, Kwang Pyo and Park, Youngo and Kim, Chang-Su [paper] (VR)
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(arXiv preprint 2021) Implicit Neural Representations for Image Compression, Str{"u}mpler, Yannick and Postels, Janis and Yang, Ren and Van Gool, Luc and Tombari, Federico [paper]
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(arXiv preprint 2021) A Novel Framework for Image-to-image Translation and Image Compression, Yang, Fei and Wang, Yaxing and Herranz, Luis and Cheng, Yongmei and Mozerov, Mikhail [paper] (I2I)
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(arXiv preprint 2021) Semantic-assisted image compression, Sun, Qizheng and Guo, Caili and Yang, Yang and Chen, Jiujiu and Xue, Xijun [paper]
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(arXiv preprint 2021) End-to-End Learned Image Compression with Quantized Weights and Activations, Sun, Heming and Yu, Lu and Katto, Jiro [paper]
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(arXiv preprint 2021) End-to-End Image Compression with Probabilistic Decoding, Ma, Haichuan and Liu, Dong and Dong, Cunhui and Li, Li and Wu, Feng [paper]
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(arXiv preprint 2021) Towards End-to-End Image Compression and Analysis with Transformers, Bai, Yuanchao and Yang, Xu and Liu, Xianming and Jiang, Junjun and Wang, Yaowei and Ji, Xiangyang and Gao, Wen [paper]
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(arXiv preprint 2021) A Cross Channel Context Model for Latents in Deep Image Compression, Ma, Changyue and Wang, Zhao and Liao, Ruling and Ye, Yan [paper]
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(arXiv preprint 2021) Online Meta Adaptation for Variable-Rate Learned Image Compression, Wei Jiang, Wei Wang, Songnan Li, Shan Liu [paper] (VR)
✔2020 «🎯Back To Top»
✔2019 «🎯Back To Top»
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(PCS 19) A novel deep progressive image compression framework, Cai, Chunlei and Chen, Li and Zhang, Xiaoyun and Lu, Guo and Gao, Zhiyong. [paper]
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(CVPR 19) Learning image and video compression through spatial-temporal energy compaction, Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro. [paper]