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 …

Count the MACs / FLOPs of your PyTorch model.

LPIPS metric. pip install lpips

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.

Winning Solution in NTIRE19 Challenges on Video Restoration and Enhancement (CVPR19 Workshops) - Video Restoration with Enhanced Deformable Convolutional Networks. EDVR has been merged into BasicSR…

Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

Real-World Super-Resolution via Kernel Estimation and Noise Injection

Reference code for the paper: Deep White-Balance Editing (CVPR 2020). Our method is a deep learning multi-task framework for white-balance editing.

Underexposed Photo Enhancement Using Deep Illumination Estimation

Code for "Toward Convolutional Blind Denoising of Real Photographs", CVPR 2019

Scripting in Photoshop is used to automate a wide variety of repetitive task or as complex as an entire new feature

Official implementation of the paper 'High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network' in CVPR 2021

Edge-oriented Convolution Block for Real-time Super Resolution on Mobile Devices, ACM Multimedia 2021

Official Implementation and Dataset of "PPR10K: A Large-Scale Portrait Photo Retouching Dataset with Human-Region Mask and Group-Level Consistency", CVPR 2021

[ICCP'22] Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline

Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

Small utility for color space conversions of PyTorch Tensors and Variables

CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementation

PyTorch implementation of "Grid anchor based image cropping"

Learning Compressed Representation of 3DLUT for Image-enhancement. Higher performance with much smaller models! ☺️

Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"

Compatible with Python3 & PyTorch 1.0+ on Ubuntu

A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.

Source code for 2021 CVPR paper "Seeing in Extra Darkness Using a Deep-red Flash"