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.

Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

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]

Densely Connected Pyramid Dehazing Network (CVPR'2018)

[CVPR 2023] | RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors

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

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

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

Pytorch Code for the paper TransWeather - CVPR 2022

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

[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

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

Remote Sensing Image Dehazing: A Systematic Review of Progress, Challenges, and Prospects

[CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior

Implementation of MAXIM in TensorFlow.

This paper is accepted by ICCV 2021.

[NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network

This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))

Official PyTorch implementation of DW-GAN, 1st place solution of NTIRE 2021 NonHomogeneous Dehazing Challenge (CVPR Workshop 2021).

Official PyTorch implementation of Two-branch Dehazing, wining runner-up awards in NTIRE 2021.

Solution for NTIRE2018 Image Dehazing Challenge & ACCV2018 Kangfu Mei et al.

NTIRE 2020 NonHomogeneous Dehazing Challenge (CVPR Workshop 2020) 1st Solution.

Pytorch implementation of AOD-Net : All-in-One Network for Dehazing - ICCV2017

[CVPRW 2023] SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing

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

[IEEE TIM] Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network

The Code is created for dehaze, sand dust image and underwater image enhancement.