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Xuanhong Chen GitHub Followers

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I'm an Assistant Professor at ICCI Shanghai Jiao Tong University, Shanghai, China. I mainly focus on image/video synthesis/editing and low-level vision research, especially on face attributes editing, such as:

  • Video Face Editing
  • Video Synthesis/Editing
  • MetaHuman
  • Image/Super Resolution
  • ...

Chen's GitHub stats

🚀 News

  • 2024-02-27: Two papers are accepted by CVPR2024!
  • 2023-12-12: Two papers are accepted by AAAI2024!
  • 2023-07-14: One paper is accepted by ICCV2023!
  • 2023-04-19: The code of OmniSR [Paper] (CVPR2023) is avaliable!
  • 2023-03-24: The code of EQSR [Paper] (CVPR2023) is avaliable!
  • 2023-03-22: The code of 3DQD [Paper] (CVPR2023) is avaliable!
  • 2023-02-28: Three papers are accepted by CVPR 2023, codes will be avaliable ASAP. 😍
  • 2022-11-20: One paper (GeoDSR) accepted by AAAI 2023.
  • 2022-09-15: One paper (RainNet) accepted by NeurIPS 2022.
  • 2021-12-10: One paper (Bivolution) accepted by AAAI2022.

🌱 Repositories

Topic Title Badge
Face Attributes Editing SimSwap: An Efficient Framework For High Fidelity Face Swapping arXivGitHub Starsdownloadvisitors google colab logo
Face Attributes Editing SimSwap++: Towards Faster and High-Quality Identity Swapping TPAMIGitHub Starsdownloadvisitors
Face Attributes Editing CooGAN: A Memory-Efficient Framework for High-Resolution Facial Attribute Editing arXivGitHub Starsdownloadvisitors
Style Transfer Anisotropic Stroke Control for Multiple Artists Style Transfer arXivGitHub Starsdownloadvisitors google colab logo
High Resolution Face Dataset VGGFace2-HQ GitHub Starsvisitors download
Efficient Basic Operator Bi-volution: A Static and Dynamic Coupled Filter arXivGitHub Starsdownloadvisitors
AI for Science RainNet: A Large-Scale Imagery Dataset and Benchmark for Spatial Precipitation Downscaling arXivGitHub Starsdownloadvisitors
Low-level CV Learning Continuous Depth Representation via Geometric Spatial Aggregator arXivGitHub Starsdownloadvisitors
Low-level CV Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit arXivGitHub Starsdownloadvisitors
Low-level CV Omni Aggregation Networks for Lightweight Image Super-Resolution arXivGitHub Starsdownloadvisitors

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