Code for "MixDehazeNet: Mix Structure block for image dehazing network"
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Updated
Sep 18, 2024 - Python
Code for "MixDehazeNet: Mix Structure block for image dehazing network"
Official PyTorch implementation of dehazing method based on FFC and ConvNeXt, 1st place solution of NTIRE 2023 HR NonHomogeneous Dehazing Challenge (CVPR Workshop 2023).
list of dehazing papers: https://yiqunchen1999.github.io/HazeRemovalList/
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.
The code release of paper "CVIU Pyramid Channel-based Feature Attention Network for Image Dehazing", CVIU 2020
Built framework for Image dehazing for autonomous/electric vehicles driving in inclement weather conditions using deep learning Created a dehazing interface using Stream Lit which takes a foggy image as an input and gives the clear image as an output .Took an existing dataset, cleaned, and manipulated using Python and Deployed on website through…
Using a conditional GAN architecture with a composite loss function including Min-Max, L1, L2 losses for dehazing of images. Experiments include numerous generator models, data augmentation to add image pairs (clean image, hazy image) with 3 different levels of haze.
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