Official implementation of "Prompt-based test-time real image dehazing: a novel pipeline".

PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)

Here is the code for the TPAMI paper: Advancing Real-World Image Dehazing:Perspective, Modules, and Training.

Awesome list of Mixture-of-Experts (MoE)

Learning A Sparse Transformer Network for Effective Image Deraining (CVPR 2023)

2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.

Towards Effective Multiple-in-One Image Restoration: A Sequential and Prompt Learning Strategy

[AAAI 2024] Official code for Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation

Pytorch implementation of convolutional neural network visualization techniques

Revitalizing Convolutional Network for Image Restoration

Unifying Image Processing as Visual Prompting Question Answering

A Preliminary Exploration Towards General Image Restoration

🏠[ECCV 2024] GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting

Textual Prompt Guided Image Restoration

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

Multi-Scale Frequency Selection Network for Image Restoration

TPAMI：Frequency-aware Feature Fusion for Dense Image Prediction

Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration

Learning Enriched Features via Selective State Spaces Model for Efficient Image Deblurring

Official implementation of "ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image Enhancement", Accepted in ICML ES-Fomo-II 2024

[2023 TIP] An Efficient Multiscale Spatial Rearrangement MLP Architecture for Image Restoration.

GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"