"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)

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

computational zoom from raw sensor data

[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

[NeurIPS 2023] Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

[NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.

ECCV2024：A Comparative Study of Image Restoration Networks for General Backbone Network Design

Official implementation of ICCV2023 "Towards Real-World Burst Image Super-Resolution: Benchmark and Method"

Arbitrary-scale image super-resolution (ISR) and video super-resolution (VSR)

A Unified Conditional Framework for Diffusion-based Image Restoration

[CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution

The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow

Official repository of the Fried Rice Lab, including code resources of the following our works: ESWT [arXiv], etc. This repository also implements many useful features and out-of-the-box image rest…

Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

PyTorch implementation of "Deep Equilibrium Diffusion Restoration with Parallel Sampling (CVPR 2024)"

A framework for joint super-resolution and image synthesis, without requiring real training data

[CVPR 2024] Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution

[CVPR 2024] CoSeR: Bridging Image and Language for Cognitive Super-Resolution

Generative Diffusion Prior for Unified Image Restoration and Enhancement (CVPR2023)

[ECCV 2024] Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Official PyTorch implementation for Decomposed Diffusion Sampling (DDS), presented in the paper "Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems" (https://arxiv.org/abs/2…

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

Repository for "See More Details: Efficient Image Super-Resolution by Experts Mining", ICML 2024

[CVPR 2024] Official implementation of "Beyond Image Super-Resolution for Image Recognition with Task-Driven Perceptual Loss"

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

[NeurIPS 2024🔥] DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation

InstantIR: Blind Image Restoration with Instant Generative Reference 🔥