Tianyi Xie
Tianyi Xie is a computer graphics and embodied AI researcher who uses physical simulation with generative models to create motion, garments and animation. They worked at ByteDance AI Lab and Netflix Research before joining NVIDIA Research, and coauthored PhysGaussian, Dress-1-to-3 and PhysAnimator. At UCLA, they defended a computer science Ph.D. on physics-informed generative modeling and received the Computer Science department's Outstanding Graduate Student Research Award in 2026. Since April 2026, they have been a Research Scientist in NVIDIA Research's Data-Driven AI for Robotics team, where they coauthored GRAIL for humanoid loco-manipulation.
Timeline
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2020–2021
ByteDance AI Lab internship
ByteDance AI Lab in Shanghai employs Xie as a research intern from April 2020 to July 2021.
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June 2024–November 2024
Netflix Research internship
Netflix Research takes Xie on as a research intern in Los Gatos in June 2024; the role runs through November 2024.
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2024
PhysGaussian at CVPR
PhysGaussian is a CVPR 2024 paper coauthored by Xie; it integrates Newtonian dynamics into 3D Gaussian kernels to synthesize novel motion.
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February 2025
The Dress-1-to-3 pipeline
The Dress-1-to-3 pipeline, coauthored by Xie in February 2025, reconstructs physics-plausible, simulation-ready garments from an in-the-wild image.
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2025
PhysAnimator at CVPR
PhysAnimator combines physics-based simulations with generative models to animate static anime illustrations; Xie coauthors the CVPR 2025 paper.
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June 2025–April 2026
NVIDIA Research internship
NVIDIA Research employs Xie as a research intern in Santa Clara from June 2025 to April 2026.
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February 2026–April 2026
A UCLA PhD and research award
A February 2026 UCLA computer science Ph.D. defense centers on Xie’s thesis, “Physics-Informed Methods for Generative Modeling and Dynamics.” They hold an M.S. in computer science from UCLA and a B.Eng. in software engineering from Shanghai Jiao Tong University; Chenfanfu Jiang and Demetri Terzopoulos advise the doctoral research. UCLA CS awards Xie the Outstanding Graduate Student Research Award in April 2026.
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Since April 2026
Research Scientist at NVIDIA
In April 2026, Xie joins NVIDIA Research as a Research Scientist on its Data-Driven AI for Robotics (DAIR) team. Their work connects physics-based simulation and generative AI across computer graphics, embodied AI and robotics. In June 2026, Xie coauthors GRAIL, a framework for generating humanoid loco-manipulation from 3D assets and video priors.
Career
- Since 2026NVIDIAResearch Intern, Research Scientist
- 2024NetflixResearch Intern
- 2020–2021ByteDanceResearch Intern
Education
Sources and credits
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- Tianyi Xie | NVIDIA Research
- CVPR 2024 Open Access Repository
- [2502.03449] Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics
- CVPR 2025 Open Access Repository
- UCLA Artificial Intelligence & Visual Computing Lab
- Graduate Students and Postdocs of Professor Demetri Terzopoulos
- Tianyi Xie | Research
- DAIR @ NVIDIA Research
- GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors | DAIR @ NVIDIA Research



