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Image-to-Image Translation in PyTorch
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
pytorch implementation of Domain-Adversarial Training of Neural Networks
A Tensorflow implementation of RetinexNet
Densely Connected Pyramid Dehazing Network (CVPR'2018)
[IEEE TIP] Vision Transformers for Single Image Dehazing
PyTorch implementation of some single image dehazing networks.
The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"
Contrastive Learning for Compact Single Image Dehazing, CVPR2021
This repo contains the official training and testing codes for our paper: GridDehazeNet: Attention-Based Multi-Scale Network for Image Dehazing.
Domain Adaptation for Image Dehazing, CVPR2020
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net
[CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Zeyuan Chen, Yangchao Wang, Yang Yang and Dong Liu. "PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors". IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Foggy Insulator Network, Dataset and Code. Improved object detection network, synthetic fog, data augmentation, channel attention mechanism. Insulator & defect detection
Retinex Algorithms: python code for MSRCR, MSRCP.
Attention based Single Image Dehazing Using Improved CycleGAN