多层次Gans的coarse-to-fine deraining model
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Updated
Jul 23, 2019 - Python
多层次Gans的coarse-to-fine deraining model
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Official Pytorch Code for "Exploring Overcomplete Representations for Single Image Deraining using CNNs" - IEEE Journal of STSP
Gated Fusion Network for Degraded Image Super-Resolution (IJCV 2020).
Selective Wavelet Attention Learning for Single Image Deraining
Visual Attentive GAN Project
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
DRT: A Light Weight Deraining Recursive Transformer
A PyTorch implementation of Restormer based on CVPR 2022 paper "Restormer: Efficient Transformer for High-Resolution Image Restoration"
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
Pytorch Code for the paper TransWeather - CVPR 2022
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
This is the source code of PMHLD-Patch-Map-Based-Hybrid-Learning-DehazeNet-for-Single-Image-Haze-Removal which has been accepted by IEEE Transaction on Image Processing 2020.
This is the source code of PMS-Net: Robust Haze Removal Based on Patch Map for Single Images which has been published in CVPR 2019 Long Beach
Inference code for "Unified Multi-Weather Transformer for Multi-Weather Image Restoration".
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