GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
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Updated
Jul 26, 2024 - Python
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
SwinIR: Image Restoration Using Swin Transformer (official repository)
The state-of-the-art image restoration model without nonlinear activation functions.
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
A Tensorflow implementation of RetinexNet
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
Awesome Remote Sensing Toolkit based on PaddlePaddle.
Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Restoration for TEMPEST images using deep-learning
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis
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