Liyuan Zhu 朱力源
Liyuan Zhu 朱力源
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I am a second-year PhD student in Gradient Spaces Group, Stanford University, mainly advised by Iro Armeni and Gordon Wezstein. Before this, I obtained my master's at ETH Zurich, working with Konrad Schindler and Shengyu Huang. Previously, I did my undergrad at Wuhan University.
My long-term research goal is bridging reconstruction and generation for the 3D built environments. Feel free to shoot me an email to discuss research if you are interested.
Office: Y2E2, 473 Via Ortega, Stanford, 94305 CA
Email / Scholar / Github / LinkedIn / Twitter
My long-term research goal is bridging reconstruction and generation for the 3D built environments. Feel free to shoot me an email to discuss research 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
LoopSplat: Loop Closure by Registering 3D Gaussian Splats
Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni
In 3DV, 2025 (Oral)
Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments
Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni
In CVPR, 2024 (Highlight)
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)
Honors & Awards
Honors & Awards
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.
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, CVPR'24&25, ECCV'24.
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