Liyuan Zhu 朱力源

I am a second-year PhD student in Gradient Spaces Group, Stanford University, advised by Iro Armeni and co-advised by 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.
I am interested in the digitalization and generation of the built environment. 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

LoopSplat: Loop Closure by Registering 3D Gaussian Splats

Liyuan Zhu, Yue Li, Erik Sandström, Shengyu Huang, Konrad Schindler, Iro Armeni
In 3DV, 2025 (Oral)
Code / Project / Preprint

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Liyuan Zhu, Shengyu Huang, Konrad Schindler, Iro Armeni
In CVPR, 2024 (Highlight)
Code / Project / Paper

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)
Code / Project / Paper

Honors & Awards

Culmann Prize (Best Master's Thesis), ETH Zurich, Nov. 2023.
Best paper award, CVPR Workshop in Photogrammetric Computer Vision, 2023.

Talks

[LoopSplat] Oral Presentation at 3DV 2025 in Singapore, Mar. 27, 2025,.
[LoopSplat] Talk at AnySyn3D (https://anysyn3d.github.io/) on Sep 19, 2024.

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.