


SUPIR
· GitHub
llava diffusion-models sdxl restoration stable-diffusion deep-learning super-resolution pytorch-lightning pytorch
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 Stats
4958 stars
420 forks
Repository Activity
This repository has been starred 4958 times and forked 420 times, showing its popularity in the developer community.
README Preview
## (CVPR2024) Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild > [[Paper](https://arxiv.org/abs/2401.13627)]   [[Project Page](http://supir.xpixel.group/)]   [[Online App]](https://supir.suppixel.ai/home) <br> > Fanghua, Yu, [Jinjin Gu](https://www.jasongt.com/), Zheyuan Li, Jinfan Hu, Xiangtao Kong, [Xintao Wang](https://xinntao.github.io/), [Jingwen He](https://scholar.google.com.hk/citations?user=GUxrycUAAAAJ), [Yu Qiao](https://scholar.google.com.hk/citations?user=gFtI-8QAAAAJ), [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ) <br> > Shenzhen Institute of Advanced Technology; Shanghai AI Laboratory; University of Sydney; The Hong Kong Polytechnic University; ARC Lab, Tencent PCG; The Chinese University of Hong Kong <br> <p align="center"> <img src="assets/teaser.png"> </p> --- #### 🚀 We're thrilled to announce the official launch of SupPixel AI! Experience the next level of image processing a