AI for GNU Image Manipulation Program
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Updated
Jun 8, 2024 - Python
AI for GNU Image Manipulation Program
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
[CVPR 2022 Oral] PyTorch re-implementation for "MAXIM: Multi-Axis MLP for Image Processing", with *training code*. Official Jax repo: https://github.com/google-research/maxim
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
Pytorch Code for the paper TransWeather - CVPR 2022
PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)
[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061
[CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
This paper is accepted by ICCV 2021.
Solution for NTIRE2018 Image Dehazing Challenge & ACCV2018 Kangfu Mei et al.
This is the python code corresponding to the article "Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network".
Pytorch implementation of "Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network"
This is the python code corresponding to the article "SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing"
Pytorch implementation of AOD-Net : All-in-One Network for Dehazing - ICCV2017
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