Zhiqi Li (李治琦)

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I am a Ph.D. student in the School of Engineering at Westlake University, jointly with Zhejiang University (ZJU), under the supervision of Prof. Peidong Liu. Prior to this, I earned my Bachelor’s degree from Shanghai JiaoTong University (SJTU) in 2022.

My research interests center on core applications within the field of 3D vision, including 3D Content Generation, Feedforward 3D Reconstruction, World Models. I am particularly passionate about developing efficient and scalable algorithms that bridge the gap between digital representation and real-world understanding, with the aim of enabling more intelligent and interactive 3D systems.

I am always eager to exchange ideas and explore potential collaborations. Please feel free to reach out if you are interested in my work or have related research topics to discuss.

[CV]

news

Feb 26, 2025 Our paper Omni-Scene is accepted by CVPR 2025! :sparkles: :smile:
Nov 02, 2024 Our paper MVControl is accepted by 3DV 2025! :sparkles: :smile:
Sep 26, 2024 Our paper DreamMesh4D is accepted by NeurIPS 2024! :sparkles: :smile:

Publications

  1. ArXiv 2025
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    MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation
    Zhiqi Li, Wenhuan Li, Tengfei Wang, Zhenwei Wang, Junta Wu, Haoyuan Wang, and 5 more authors
    arXiv preprint arXiv:2512.07628, 2025
  2. ArXiv 2025
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    QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models
    Jian Liu, Chunshi Wang, Song Guo, Haohan Weng, Zhen Zhou, Zhiqi Li, and 5 more authors
    arXiv preprint arXiv:2509.21420, 2025
  3. ArXiv 2025
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    VicaSplat: A Single Run is All You Need for 3D Gaussian Splatting and Camera Estimation from Unposed Video Frames
    Zhiqi Li, Chengrui Dong, Yiming Chen, Zhangchi Huang, and Peidong Liu
    arXiv preprint arXiv:2503.10286, 2025
  4. CVPR 2025
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    Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction
    Dongxu Wei, Zhiqi Li, and Peidong Liu
    In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025
  5. 3DV 2025
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    Controllable Text-to-3D Generation via Surface-Aligned Gaussian Splatting
    Zhiqi Li, Yiming Chen, Lingzhe Zhao, and Peidong Liu
    In 2025 International Conference on 3D Vision (3DV), 2025
  6. NeurIPS 2024
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    DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation
    Zhiqi Li*, Yiming Chen*, and Peidong Liu
    Advances in Neural Information Processing Systems, 2024

Experiences

Apr. 2025 - Nov. 2025 Research Intern, Tencent Hunyuan, Shenzhen. Work on compositional 3D generation.

Services

Conference Reviewer ICLR, NeurIPS, 3DV.