A single image deraining training and testing code with detailed explanations.
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Updated
Mar 23, 2023
A single image deraining training and testing code with detailed explanations.
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
A PyTorch implementation of Learning a Tree-Structured Channel-Wise Refinement Network for Efficient Image Deraining, ICME, 2021
Remove rain from the images.
[TPAMI] Image Restoration via Frequency Selection
Image Restoration thesis
Official repository for the paper "Image Deraining Transformer".
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
Pytorch code for "Attention Based Real Image Restoration", IEEE Transactions on Neural Networks and Learning Systems, 2021
A Collection of Low Level Vision Research Groups
[ICLR 2023] Selective Frequency Network for Image Restoration
Compound Multi-branch Feature Fusion for Real Image Restoration
PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]
A Collection of Papers and Codes for ECCV2020 Low Level Vision or Image Reconstruction
KBNet: Kernel Basis Network for Image Restoration
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
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. ⭐⭐⭐⭐⭐⭐
A Collection of Papers and Codes for ICCV2021 Low Level Vision and Image Generation
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
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