Blind JPEG Artifacts Removal via Enhanced Swin-Conv-UNet

The state-of-the-art image restoration model without nonlinear activation functions.

[MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution

[AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

3D Visualization of an GPT-style LLM

A Flexible and Unified Image Restoration Framework (PyTorch), including state-of-the-art image restoration model. Such as NAFNet, Restormer, MPRNet, MIMO-UNet, SCUNet, SwinIR, HINet, etc. ⭐⭐⭐⭐⭐⭐

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

Update BasicSR to support PyTorch2.0 DDP training

Handy image viewer based on PyQt5. Convenient for viewing and comparing :-)

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …

Test-time Local Converter

The state-of-the-art image restoration model without nonlinear activation functions.

KBNet: Kernel Basis Network for Image Restoration

using yolov5 and realsense D435i

How to use wandb?

OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…

Code for the paper "Pyramid Real Image Denoising Network"

Pytorch implementation of Generated Image Quality Assessment

Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"

Official PyTorch implementation of "HiNet: Deep Image Hiding by Invertible Network" (ICCV 2021)

Toward Convolutional Blind Denoising of Real Photograph

ECCV2020 - Practical Deep Raw Image Denoising on Mobile Devices

[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Use deep Convolutional Neural Networks (CNNs) with PyTorch, including investigating DnCNN and U-net architectures

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

The paddlepaddle implemention of NAFNet for denoising

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Collection of popular and reproducible image denoising works.