[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
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Updated
Oct 17, 2024 - Python
[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
[ECCV‘24] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint
Source Code for WeatherRemover
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.
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
This is the project page of our paper which has been published in ECCV 2020.
This paper is accepted by ICCV 2021.
[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method
This paper is accepted by IEEE TCSVT
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
Inference code for "Unified Multi-Weather Transformer for Multi-Weather Image 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.
Pytorch Code for the paper TransWeather - CVPR 2022
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
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