Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
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Updated
Feb 23, 2023 - Python
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
Pytorch Code for the paper TransWeather - CVPR 2022
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
This paper is accepted by ICCV 2021.
[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
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 project page of our paper which has been published in ECCV 2020.
[ECCV‘24] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
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".
This paper is accepted by IEEE TCSVT
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