Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]

[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation

[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer

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

[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.

Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.

This paper is accepted by ICCV 2021.

[ICCV 2023] Snow Removal in Video: A New Dataset and A Novel Method

[ECCV‘24] Teaching Tailored to Talent: Adverse Weather Restoration via Prompt Pool and Depth-Anything Constraint

This is the project page of our paper which has been published in ECCV 2020.

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

Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models (ECCV 2024)

Source Code for WeatherRemover (WeatherRemover: All-in-one Adverse Weather Removal with Multi-scale Feature Map Compression)

Inference code for "Unified Multi-Weather Transformer for Multi-Weather Image Restoration".

Weather30K & WeatherNet

This paper is accepted by IEEE TCSVT

This is the official code for the paper "Grounding Degradations in Natural Language for All-In-One Video Restoration" accepted to WACV 26.