이미지 개선 딥러닝 모델 선택 적용 시스템 (NAFNet, HAT, MAXIM)
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Updated
Nov 15, 2023 - Python
이미지 개선 딥러닝 모델 선택 적용 시스템 (NAFNet, HAT, MAXIM)
Face Swap Finetuned Model
Fork of Basic Super-Resolution codes for development. Includes ESRGAN, SFT-GAN for training and testing.
Windows only GUI for ESRGAN with additional features
BasicSR-Examples illustrates how to easily use BasicSR in your own project
Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image restoration models.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
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