Hi! I am currently a researcher at Shanghai AI Lab.
I’m really interested in Computer Vision, including unconditional or conditional Image Generation (e.g., Image-to-Image Translation) and recently, Neural Radience Field.
I aim at find out the Imagination Ability of Deep Neural Network in vision area.
You can find my publication and source code on GitHub.
Email me at imlixinyang@gmail.com any time!
[2020.03.01] Code of HiSD has been released at [Repo of HiSD].
[2020.03.01] Paper [Image-to-image Translation via Hierarchical Style Disentanglement] is accepted to CVPR 2021 as Oral.
[2020.01.13] Code for AGUIT has been released!
[2019.05.24] Repo for AGUIT has been created: [Repo of AGUIT].
[2019.04.29] Preprint submission: [Attributed Guided Unpaird Image-to-Image Translation with Semi-supervised Learning].
Image-to-image Translation via Hierarchical Style Disentanglement
by Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji
[Code] [Paper]
Attributed Guided Unpaird Image-to-Image Translation with Semi-supervised Learning
by Xinyang Li, Jie Hu, Shengchuan Zhang, Xiaopeng Hong, Qixiang Ye, Chenglin Wu, Rongrong Ji
[Code] [Paper]
[2021.8 ~] Researcher in Shanghai AI Lab.
[2021.12 ~ 2022.7] Research intern in Shanghai AI Lab.
[2020.12 ~ 2021.11] Research intern of Computer Vision in Bytedance AI Lab.
[2018.10 ~ 2019.6] Research intern of Computer Vision in Social Bird AI Lab.