Xintao

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

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 and this repo is a mirror of BasicSR.

FaceXlib aims at providing ready-to-use face-related functions based on current STOA open-source methods.

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

CVPR18 - Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

BasicSR-Examples illustrates how to easily use BasicSR in your own project

Python Project Template

HandyFigure provides the sources file (ususally PPT files) for paper figures