Ye Tao
Department of Computer ScienceCity University of Hong Kong
I am a Ph.D. candidate co-advised by Prof. Dapeng Wu and Prof. Junhui Hou. Previously, I received my master’s degree from Beihang University and my bachelor’s degree from Northwestern Polytechnical University.
My research focuses on geometry-aware generative models for articulated 3D/4D objects, particularly in motion generation, reconstruction, and character animation.
News
- 🎓 Passed my Ph.D. qualifying examination and advanced to candidacy.
- 🎉 SkelMo was accepted to ECCV 2026.
- 🎉 GSV3D was accepted to ICCV 2025.
Selected Publications
GSV3D: Gaussian Splatting-based Geometric Distillation with Stable Video Diffusion for Single-Image 3D Object Generation
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
Turns a single image into a geometrically consistent 3D object by distilling Stable Video Diffusion into an explicit Gaussian Splatting representation.
Articulated Motion-Aware NeRF for 3D Dynamic Appearance and Geometry Reconstruction by Implicit Motion States
IEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Reconstructs the continuous appearance, geometry, and motion attributes of articulated objects from unordered, discontinuous images using an implicit motion-state space.
Honors & Awards
- 2026 Outstanding Academic Performance Award, City University of Hong Kong
- 2023 – 2024 Second-Class Academic Scholarship, School of Computer Science and Engineering, Beihang University
- 2019 – 2022 Outstanding Student Scholarship, School of Computer Science, Northwestern Polytechnical University