Shuyang Gu

Researcher

Microsoft Research Asia

Email: cientgu AT gmail dot com

[Google Scholar][Github]

Biography

I am currently a Researcher in Visual Computing Group at Microsoft Research Asia (MSRA). I received my B.S. and Ph.D. degrees from University of Science and Technology of China (USTC) in 2017, 2022, supervised by Prof. Yong Wang and Prof. Baining Guo. I collaborate closely with Dong Chen, Fang Wen, and Jianmin Bao during my internship in MSRA.

My research interests mainly focus on generative models, especially the theory and practical applications of Generative Adversarial Networks and diffusion models.

If you really want to do High-Quality research and looking for an internship, please contact me.

Selected Publications

   Several questions of Visual Generation in 2024
  Shuyang Gu,
  Thoughts and Essays
  [pdf]
   Improved Noise Schedule for diffusion training
  Tiankai Hang, and Shuyang Gu
  Arxiv Preprint
  [pdf]
   Simplified Diffusion Schrödinger Bridge
  Zhicong Tang, Tiankai Hang, Shuyang Gu†, Dong Chen, and Baining Guo
  Arxiv Preprint
  [pdf] [code]
   InstructDiffusion: A Generalist Modeling Interface for Vision Tasks
  Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu†, Chen Li, Ting Zhang, Jianmin Bao, Zheng Zhang, Han Hu, Dong Chen, and Baining Guo
  Computer Vision and Pattern Recognition (CVPR), 2024
  [pdf] [code]
   Efficient Diffusion Training via Min-SNR Weighting Strategy
  Tiankai Hang, Shuyang Gu†, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, and Baining Guo
  International Conference on Computer Vision (ICCV), 2023
  [pdf] [code]
   Paint by Example: Exemplar-based Image Editing with Diffusion Models
  Binxin Yang, Shuyang Gu, Bo Zhang, Ting Zhang, Xuejin Chen, Xiaoyan Sun, Dong Chen, and Fang Wen
  Computer Vision and Pattern Recognition (CVPR), 2023
  [pdf] [code]
   Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
  Tengfei Wang, Bo Zhang, Ting Zhang, Shuyang Gu, Jianmin Bao, Tadas Baltrusaitis, Jingjing Shen, Dong Chen, Fang Wen, Qifeng Chen, and Baining Guo
  Computer Vision and Pattern Recognition (CVPR), 2023
  [pdf]
  Vector Quantized Diffusion Model for Text-to-Image Synthesis
  Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan and Baining Guo
  Computer Vision and Pattern Recognition (CVPR), 2022
  [pdf] [code]
  Improved Vector Quantized Diffusion Models
  Zhicong Tang, Shuyang Gu, Jianmin Bao, Dong Chen, and Fang Wen
  Arxiv Preprint
  [pdf] [code]
  StyleSwin: Transformer-based GAN for High-resolution Image Generation
  Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, and Baining Guo
  Computer Vision and Pattern Recognition (CVPR), 2022
  [pdf] [code]
  PriorGAN: Real Data Prior for Generative Adversarial Nets
  Shuyang Gu, Jianmin Bao, Dong Chen, and Fang Wen
  Arxiv Preprint
  [pdf]
  GIQA: Generated Image Quality Assessment
  Shuyang Gu, Jianmin Bao, Dong Chen, and Fang Wen
  European Conference on Computer Vision(ECCV), 2020
  [pdf] [code]
  Mask-Guided Portrait Editing With Conditional GANs
  Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, and Lu Yuan
  Computer Vision and Pattern Recognition (CVPR), 2019
  [pdf] [code]
  Arbitrary Style Transfer with Deep Feature Reshuffle
  Shuyang Gu, Congliang Chen, Jing Liao, and Lu Yuan
  Computer Vision and Pattern Recognition (CVPR), 2018
  [pdf] [code]