Xinzhou Wang | 王心舟


I am a third-year PhD student at College of Electronic Information and Engineering, Tongji University and Department of Computer Science, Tsinghua University, advised by Prof.Fuchun Sun. I obtained my B.S. and M.S at Beihang University.

My research interest lies in the 3D/4D Generation, Video Generation, and 3D Reconstruction. I am particularly interested in combining video diffusion model with sequential 3D generation methods.

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News

  • 2024-10: Vidu4D is accepted by NeurIPS 2024.
  • 2024-07: Two papers on 3D AIGC are accepted by ECCV 2024.
  • 2024-05: New work: Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels.
  • 2024-03: New work: accepted by IEEE Transactions on Cybernetics: Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks.
  • Publications

    * indicates equal contribution

    dise AnimatableDreamer: Text-Guided Non-rigid 3D Model Generation and Reconstruction with Canonical Score Distillation
    Xinzhou Wang, Yikai Wang, Junliang Ye, Zhengyi Wang, Fuchun Sun, Pengkun Liu, Ling Wang, Kai Sun, Xintong Wang, Bin He
    ECCV, 2024
    [arXiv] [Code] [Project Page]

    We propose AnimatableDreamer, a framework with the capability to generate generic categories of non-rigid 3D models.

    dise DreamReward: Aligning Human Preference in Text-to-3D Generation
    Junliang Ye*, Fangfu Liu*, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang, Yueqi Duan , Jun Zhu
    ECCV, 2024
    [arXiv] [Code] [Project Page]

    We present a comprehensive framework, coined DreamReward, to learn and improve text-to-3D models from human preference feedback.

    dise Vidu4D: Single Generated Video to High-Fidelity 4D Reconstruction with Dynamic Gaussian Surfels
    Yikai Wang*, Xinzhou Wang*, Zilong Chen, Zhengyi Wang, Fuchun Sun, Jun Zhu
    NeurIPS, 2024
    [arXiv] [Code] [Project Page] [Youtube]

    We present a Vidu4D, a framework to reconstruct high-fidelity 4D model from generated videos.

    dise Digital-Twin-Assisted Skill Learning for 3C Assembly Tasks
    Fuchun Sun, Naijun Liu, Xinzhou Wang, Ruize Sun, Shengyi Miao, Zengxin Kang, Bin Fang, Huaping Liu, Yongjia Zhao, Haiming Huang
    IEEE Transactions on Cybernetics.
    [paper]

    We present a digital twin with reinforce learning for sim-to-real 3C assembly task.

    dise Sim-to-Real 3C Assembly with Physics-Integrated Implicit Digital Twin
    Xinzhou Wang, Fuchun Sun, Ling Wang, Kai Sun, Yuanyan Xie, Xintong Wang, Bin He, Huaidong Zhou

    [arXiv]

    We present a implict digital twin with physics engine for sim-to-real 3C assembly task.

    dise Equivariant Local Reference Frames for Unsupervised Non-rigid Point Cloud Shape Correspondence
    Ling Wang, Runfa Chen, Yikai Wang, Fuchun Sun, Xinzhou Wang, Sun Kai, Guangyuan Fu, Jianwei Zhang, Wenbing Huang
    Submitted to IEEE Transactions on Image Processing, 2024
    [arXiv]

    We present a framework for unsupervised non-rigid point cloud shape correspondence registration, incorporating principles of equivariance.

    dise Isotropic3D: Image-to-3D Generation Based on a Single CLIP Embedding
    Pengkun Liu, Yikai Wang, Fuchun Sun, Jiafang Li, Hang Xiao, Hongxiang Xue, Xinzhou Wang
    Arxiv, 2024
    [arXiv] [Code] [Project Page]

    We propose Isotropic3D, an image-to-3D generation pipeline that takes only an image CLIP embedding as input.

    dise Deep Learning Based Tongue Prickles Detection in Traditional Chinese Medicine
    Xinzhou Wang, Siyan Luo, Guihua Tian, Xiangrong Rao, Bin He, Fuchun Sun
    Evidence-Based Complementary and Alternative Medicine, 2022
    [Paper]

    We provides a quantitative perspective for symptoms and disease diagnosis according to tongue characteristics.

    dise Measurement Selection Method for Aero-engine Discrete Operating Conditions Gas Path Analysis
    Xintong Wang, Xinzhou Wang
    International Conference on Algorithms, Data Mining, and Information Technology (ADMIT), 2022
    [Paper]

    We provides a method for measurement selection of Aero-engine gas path analysis.

    dise Camouflaged Object Segmentation with Transformer
    Haiwen Wang*, Xinzhou Wang*, Fuchun Sun, Yixu Song
    Cognitive Systems and Information Processing, 2021
    [Paper]

    We provides a transformer for camouflaged object segmentation.


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    © Xinzhou Wang | Last updated: 25 Mar, 2024