A PyTorch implementation of Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining, ICME, 2021
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Updated
Mar 19, 2021
A PyTorch implementation of Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining, ICME, 2021
Remove rain from the images.
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐
Official repository for the paper "Image Deraining Transformer".
KBNet: Kernel Basis Network for Image Restoration
A single image deraining training and testing code with detailed explanations.
[CVPR 2022] Official implementation of the paper "Uformer: A General U-Shaped Transformer for Image Restoration".
An image restoration framework (Image Deraining code has been implemented) based on the Restormer model as a back-bone. This is an early idea in my "Attending to the past" research project. This model with roughly the same amount of learnable parameters shows better performance under the same training methods
Image Restoration thesis
Compound Multi-branch Feature Fusion for Real Image Restoration
[ICLR 2023] Selective Frequency Network for Image Restoration
[TPAMI] Image Restoration via Frequency Selection
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
A Collection of Low Level Vision Research Groups
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
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