Xintao Wang

Xintao is a researcher at Tencent ARC Lab, (Applied Research Center, Shenzhen).

He got his Ph.D. degree from Multimedia Laboratory, The Chinese University of Hong Kong, supervised by Prof. Xiaoou Tang and Prof. Chen Change Loy. He also works closely with Prof. Chao Dong. Previously, He received the B. Eng degree from Zhejiang University in 2016.

His research interests include computer vision and deep learning, particularly focusing on image/video restoration tasks, such as super-resolution.

We are recruiting self-motivated interns / full-time researchers in Tencent ARC Lab. If you are interested in, feel free to contact me.

   Github      Gitee码云      Google Scholar      Email          知乎
 
BasicSRGitHub Repo stars
Open source image and video restoration toolbox.
More Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
[ Github ] [ Gitee码云] [ 知乎: BasicSR教程 ]
HandyView GitHub Repo stars
Handy Image Viewer.
More based on PyQt5. Convenient for viewing and comparing :-)
[ Github ] [ Gitee码云 ] [ 知乎: HandyView教程
Real-ESRGAN GitHub Repo stars
Practical algorithms for image restoration.
[ Github]
GFPGAN GitHub Repo stars
Towards practical face restoration.
[ Github]
FaceXLib GitHub Repo stars
Face Library :-)
More :-)
[ Github ] [ Gitee码云 ]
记录
记录平时遇到的问题和解决方法.
[ Page hosted on GitHub ] [ Page hosted on Gitee码云 ]


News


Publications

Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution
Liangbie Xie*, Xintao Wang*, Chao Dong, Ying Shan
(* equal contribution)
arXiv preprint arXiv:2108.01070, 2021.
 Paper (arXiv)   Codes (GitHub) [Coming soon]   BibTex 
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Xintao Wang, Liangbie Xie, Chao Dong, Ying Shan
arXiv preprint arXiv:2107.10833, 2021.
 Paper (arXiv)   Codes (GitHub)   BibTex 
Towards Vivid and Diverse Image Colorization with Generative Color Prior
Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan
International Conference on Computer Vision (ICCV), 2021.
 Paper (arXiv)   BibTex 
GFPGAN: Towards Real-World Blind Face Restoration with Generative Facial Prior
Xintao Wang, Yu Li, Honglun Zhang, Ying Shan
Computer Vision and Pattern Recognition (CVPR), 2021
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex 
Positional Encoding as Spatial Inductive Bias in GANs
Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2021
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex   Youtube   Bilibili 
BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin C.K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2021
 Paper (arXiv)   Project Page   Codes (in BasicSR)   Codes (in MMEditing)   BibTex 
GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution
Kelvin C.K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2021, oral
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex 
Robust Reference-based Super-Resolution via C2-Matching
Yuming Jiang, Kelvin C.K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu
Computer Vision and Pattern Recognition (CVPR), 2021
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex 
Understanding Deformable Alignment in Video Super-Resolution
Kelvin C.K. Chan*, Xintao Wang*, Ke Yu, Chao Dong, Chen Change Loy
(* equal contribution)
Association for the Advancement of Artificial Intelligence (AAAI), 2021
 Paper (arXiv)   BibTex 
EDVR: Video Restoration with Enhanced Deformable Convolutional Networks
Xintao Wang, Kelvin C.K. Chan, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition Workshops (CVPRW), 2019; Champion , NTIRE 2019 Challenges on Video Restoration and Enhancement
 Paper (arXiv)   Project Page   Codes (GitHub)   Codes (Gitee)   BibTex 
Path-Restore: Learning Network Path Selection for Image Restoration
Ke Yu, Xintao Wang, Chao Dong, Xiaoou Tang, Chen Change Loy
arXiv preprint arXiv:1904.10343, 2019.
 Paper (arXiv)   Project Page   BibTex 
Deep Network Interpolation for Continuous Imagery Effect Transition
Xintao Wang, Ke Yu, Chao Dong, Xiaoou Tang, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2019
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex   Youtube 
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy
European Conference on Computer Vision Workshops (ECCVW), 2018; Champion , PIRM 2018 Challenge on Perceptual Super-Resolution (3rd track)
 Paper (arXiv)   Codes (GitHub)   Codes (Gitee)   BibTex 
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform
Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy
Computer Vision and Pattern Recognition (CVPR), 2018
 Paper (arXiv)   Project Page   Codes (GitHub)   BibTex 

(* equal contribution, # corresponding author)


© Xintao Wang | Last updated: January, 2021