Liyuan Zhu
Liyuan Zhu
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I am a 2nd-year PhD candidate in Gradient Spaces Lab, Stanford University, advised by Iro Armeni and Gordon Wetzstein. I obtained my master's at ETH Zurich, working with Konrad Schindler and Shengyu Huang. I did my undergrad at Wuhan University.
My research goal is bridging 3D reconstruction and generation for interior design. I am interested in 3D vision and graphics. Feel free to shoot me an email to chat if you are interested.
Office: Y2E2, 473 Via Ortega, Stanford, 94305 CA
Email / Scholar / Github / LinkedIn / Twitter
My research goal is bridging 3D reconstruction and generation for interior design. I am interested in 3D vision and graphics. Feel free to shoot me an email to chat if you are interested.
Office: Y2E2, 473 Via Ortega, Stanford, 94305 CA
Email / Scholar / Github / LinkedIn / Twitter
Publications
Publications
* denotes equal contribution
ReStyle3D: Scene-level Appearance Transfer with Semantic Correspondences
Liyuan Zhu, Shengqu Cai*, Shengyu Huang*, Gordon Wezstein, Naji Khosravan, Iro Armeni
In ACM SIGGRAPH, 2025
Compositional 3D scene stylization with diffusion models.
Rectified Point Flow: Generic Point Cloud Pose Estimation
Tao Sun*, Liyuan Zhu*, Shengyu Huang, Shuran Song, Iro Armeni (* equal contribution)
arXiv preprint
A generative formulation for point cloud pose estimation.
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni
In International Conference on 3D Vision (3DV), 2025 (Oral)
State-of-the-art loop closure solution for RGB-D SLAM systems.
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni
In CVPR, 2024 (Highlight)
Understanding multi-object rigid motion over time. (Multi-body registration).
DeFlow: Self-supervised 3D Motion Estimation of Debris Flow
Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron
In CVPR Workshop, 2023 (Best paper award)
A self-supervised method to estimate 3D motion at pixel level.
Honors & Awards
Honors & Awards
Outstanding Reviewer (top 2%), CVPR 2025.
SPIRE Stanford Student Impact Fund Grant - Interior Design Using GenAI Models. 2025.
Culmann Prize (Best Master's Thesis), D-BAUG, ETH Zurich, Nov. 2023.
Best paper award, CVPR Workshop in Photogrammetric Computer Vision, 2023.
Talks
Talks
[LoopSplat] Oral presentation at 3DV 2025 in Singapore, Mar. 27, 2025,.
[LoopSplat] Invited talk at AnySyn3D (https://anysyn3d.github.io/) on Sep 19, 2024.
Experiences
Experiences
Head TA, "Computer Vision for the Built Environment" CEE 247C, Stanford University, Winter Quarter, 2024 & 2025.
Teaching Assistant, "Multivariate Statistics and Machine Learning," Spring semester, ETH Zurich, 2023 fall.
Research Assistant, Photogrammetry and Remote Sensing, Konrad Schindler, ETH Zurich, Feb. 2022 - Jun. 2023.
Research Assistant, Hong Kong University of Science and Technology, Jun. 2020 - Sep. 2020
Badminton Team Captain, School of RS, Wuhan University, 2020.
Academic Services
Reviewer: ICCV '23&25, CVPR '24&25, ECCV '24, NeurIPS '25
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