Stars
Official PyTorch implementation of Two-branch Dehazing, wining runner-up awards in NTIRE 2021.
Code for CoA: Towards Real Image Dehazing via Compression-and-Adaptation
CasDyF-Net: Image Dehazing via Cascaded Dynamic Filters
[AAAI 2025] Depth-Centric Dehazing and Depth-Estimation from Real-World Hazy Driving Video
codes of “DADRnet: Cross-domain Image Dehazing via Domain Adaptation and Disentangled Representation”
[IEEE TCSVT 2025] Bidirectional-Modulation Frequency-Heterogeneous Network for Remote Sensing Image Dehazing
Code for RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing lmage Dehazing
Code for USCFormer: Unified Transformer With Semantically Contrastive Learning for Image Dehazing
The Pytorch implementation for "RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing" (TIP 2021)
HLNet, which secured fourth place in the NTIRE 2024 Challenge on Bracketing Image Restoration and Enhancement - Track 2 BracketIRE+ Task, has now been accepted by the CVPR 2024 Workshop.
PyTorch implementation of Frequency-based Enhancement Network for Efficient Super-Resolution. (IEEE Access2022)
Official implementation for "Frequency and Spatial Dual Guidance for Image Dehazing" [ECCV 2022]
Y-NET: MULTI-SCALE FEATURE AGGREGATION NETWORK WITH WAVELETSTRUCTURE SIMILARITY LOSS FUNCTION FOR SINGLE IMAGE DEHAZING, ICASSP 2020
Image augmentation for machine learning experiments.
TIP 2022 | Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond.
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Here is the code for the TCSVT paper: Bridging the Gap Between Haze Scenarios: A Unified Image Dehazing Model .
This Paper is accepted in Pattern Recognition 2024
K. Chi, Y. Yuan, and Q. Wang*, “Trinity-Net: Gradient-Guided Swin Transformer-Based Remote Sensing Image Dehazing and Beyond,” IEEE Transactions on Geoscience and Remote Sensing (T-GRS), 2023.
[CVPR 2025] Tokenize Image Patches: Global Context Fusion for Effective Haze Removal in Large Images
[CVPR2025] Iterative Predictor-Critic Code Decoding for Real-World Image Dehazing