AI for GNU Image Manipulation Program

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

Source code for book "Image algorithms for low-level vision tasks" (Jia. 2024)

The official code of the IEEE Access paper Multiple Adverse Weather Removal Using Masked-Based Pre-Training and Dual-Pooling Adaptive Convolution (MPDAC)

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

This is the project page of our paper which has been published in ECCV 2020.

This paper is accepted by ICCV 2021.

Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.

A python project to desmoke/dehaze image from the selected directory with human being and animal detection for the rescue operation during fire outbreaks or disasters etc. It can also be used for the normal dehazing operation on images.

Enhancing satellite image clarity by removing haze using AOD-Net's deep convolutional and residual architectures

Enhancing satellite image clarity by removing haze using AOD-Net's deep convolutional and residual architectures

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

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

This is the python code corresponding to the article "SCANet: Self-Paced Semi-Curricular Attention Network for Non-Homogeneous Image Dehazing"

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

This is a novel methodology to perform dehazing process on a single outdoor Image using feature extraction techniques in Deep Learning and 3 added pre-processing steps.

This is the python code corresponding to the article "Deep learning-driven surveillance quality enhancement for maritime management promotion under low-visibility weathers ".

This is the python code corresponding to the article "Let You See in Haze and Sandstorm: Two-in-One Low-visibility Enhancement Network".

Dehazing enhances surveillance and remote sensing by improving image clarity for better detection and analysis.

Video Enhancement For Surveillance