Xiaoyu Li

Researcher

Tencent AI Lab

Biography

Hi! My name is Xiaoyu Li. I am currently a researcher at Tencent AI Lab. I received my Ph.D. degree with the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology (HKUST) in 2021, supervised by Prof. Pedro V. Sander. Prior to that, I received a Bachelor of Engineering at Huazhong University of Science and Technology (HUST) in 2017. I joined the Tencent AI Lab in September 2021. My research interests include computer graphics and deep learning with an emphasis on computational photography and neural rendering.

  • Shenzhen, China
  • Hiking, Photograph, Guitar
  • reynli@tencent.com
Education
  • Doctor of Philosophy (Ph.D.) in Department of Electronic and Computer Engineering

    The Hong Kong University of Science and Technology

    2017 - 2021

  • Bachelor of Engineering (B.E.) in Electronic Information Engineering

    Huazhong University of Science and Technology

    2013 - 2017

Publications
  • FDNeRF: Few-shot Dynamic Neural Radiance Fields for Face Reconstruction and Expression Editing.

    Jingbo Zhang, Xiaoyu Li, Ziyu Wan, Can Wang, Jing Liao.

    ACM SIGGRAPH Aisa 2022 Conference Proceedings.

    [Paper]
  • Neural Parameterization for Dynamic Human Head Editing.

    Li Ma, Xiaoyu Li, Jing Liao, Xuan Wang, Qi Zhang, Jue Wang, Pedro Sander.

    ACM Transactions on Graphics (SIGGRAPH Aisa 2022).

    [Paper]
  • FENeRF: Face Editing in Neural Radiance Fields.

    Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).

    [Paper] [Code] [Page]
  • Hallucinated Neural Radiance Fields in the Wild.

    Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).

    [Paper] [Code] [Page]
  • Deblur-NeRF: Neural Radiance Fields from Blurry images.

    Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022).

    [Paper] [Code] [Video] [Page]
  • Let’s See Clearly: Contaminant Artifact Removal for Moving Cameras.

    Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander.

    International Conference on Computer Vision (ICCV 2021).

    [Paper] [Video]
  • Deep Sketch-guided Cartoon Video Inbetweening.

    Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander.

    IEEE Transactions on Visualization and Computer Graphics (TVCG).

    [Paper] [Code] [Video]
  • Document Rectification and Illumination Correction using a Patch-based CNN.

    Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander.

    ACM Transactions on Graphics (SIGGRAPH Aisa 2019).

    [Paper] [Code]
  • Blind Geometric Distortion Correction on Images Through Deep Learning.

    Xiaoyu Li, Bo Zhang, Pedro V. Sander, Jing Liao.

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).

    [Paper] [Code]
Awards
  • Full Postgraduate Studentship, 2017-2021

  • Outstanding Undergraduate, 2017

    Rank 1st in the National Experimental Class "SeedClass"

  • Excellent Bachelor Thesis, 2017

  • National Scholarship, 2016

  • Merit Student, 2016

  • National Scholarship, 2015

  • Merit Student, 2015

  • Third Prize in Chinese Mathematics Competitions, 2014

Photos