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Awesome-Composition-Occlusion Awesome

A curated list of resources including papers, datasets, and relevant links pertaining to occlusion issue for image composition, which aims to address the occlusion between inserted foreground object and background objects in a composite image. For more complete resources on general image composition (object insertion), please refer to Awesome-Image-Composition.

Contributing

Contributions are welcome. If you wish to contribute, feel free to send a pull request. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a pull request.

Papers

  • Lingxiao Li, Kaixiong Gong, Weihong Li, Xili Dai, Tao Chen, Xiaojun Yuan, Xiangyu Yue: "BIFRÖST: 3D-Aware Image compositing with Language Instructions." NeurIPS (2024) [arXiv] [code]
  • Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong: "Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis." ICLR (2024) [pdf] [code]
  • Zan Li, Wencheng Wang, Fei Hou: "Image Composition with Depth Registration." IJCAI (2023) [paper]
  • Fangneng Zhan, Jiaxing Huang, Shijian Lu: "Hierarchy Composition GAN for High-fidelity Image Synthesis." Transactions on cybernetics (2021) [arXiv]
  • Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell: "Compositional GAN: Learning Image-Conditional Binary Composition." IJCV (2020) [arXiv] [code]

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