Isabella Liu

I am a fourth-year Ph.D. candidate at University of California, San Diego, advised by Prof. Xiaolong Wang. Previously, I was fortunate to be co-advised by Prof. Hao Su. I received my bachelor’s degree in Computer Science and Statistics from University of Illinois, Urbana-Champaign.

My research spans computer vision and robotics. My earlier work focused on dynamic scene reconstruction, where I developed methods to recover high-quality 4D representations of dynamic objects and scenes, including meshes, materials, and articulated structure. Building on this, my current research explores two major directions:

Developing embodied intelligence through interaction with the real physical world;
Closing the loop of exploration, action, and self-improvement in embodied systems.

Email / LinkedIn / Twitter / GitHub / Google Scholar

News

[04/25/26] Released LoHoManip, a trace-conditioned VLA framework for long-horizon manipulation.

[08/10/25] One paper accepted by SIGGRAPH Asia 2025.

[05/04/25] Two papers accepted by SIGGRAPH TOG 2025.

Selected Publications (full list)

	Long-Horizon Manipulation via Trace-Conditioned VLA Planning Isabella Liu, An-Chieh Cheng, Rui Yan, Geng Chen, Ri-Zhao Qiu, Xueyan Zou, Sha Yi, Hongxu Yin, Xiaolong Wang, Sifei Liu *arXiv 2026 [New]* project page / arxiv /
	In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data Xiongyi Cai, Ri-Zhao Qiu, Geng Chen, Lai Wei, Isabella Liu, Tianshu Huang, Xuxin Cheng, Xiaolong Wang *arXiv 2025* project page / arxiv / code /
	FreeArt3D: Training-Free Articulated Object Generation using 3D Diffusion Chuhao Chen, Isabella Liu, Xinyue Wei, Hao Su, Minghua Liu *SIGGRAPH Asia 2025* project page / arxiv / code /
	IMLS-Splatting: Efficient Mesh Reconstruction from Multi-view Images via Point Representation Kaizhi Yang, Liu Dai, Isabella Liu, Xiaoshuai Zhang, Xiaoyan Sun, Xuejin Chen, Zexiang Xu, Hao Su *SIGGRAPH TOG 2025* project page / arxiv / code /
	RigAnything: Template-Free Autoregressive Rigging for Diverse 3D Assets Isabella Liu, Zhan Xu, Wang Yifan, Hao Tan, Zexiang Xu, Xiaolong Wang, Hao Su, Zifan Shi *SIGGRAPH TOG 2025* project page / arxiv / code /
	Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Dynamic Scenes Isabella Liu, Hao Su, Xiaolong Wang *ICLR 2025* project page / arxiv / code /
	MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Model Minghua Liu, Chong Zeng, Xinyue Wei, Ruoxi Shi, Linghao Chen, Chao Xu, Mengqi Zhang, Zhaoning Wang, Xiaoshuai Zhang, Isabella Liu, Hongzhi Wu, Hao Su *NeurIPS 2024 (Oral)* project page / arxiv /
	TensoIR: Tensorial Inverse Rendering Haian Jin, Isabella Liu, Peijia Xu, Xiaoshuai Zhang, Songfang Han, Sai Bi, Xiaowei Zhou, Zexiang Xu, Hao Su *CVPR 2023* project page / arxiv / code /

Experience

NVIDIA Research, Santa Clara

Research Scientist Intern (Spring, Summer 2026)

Meta Reality Labs, Redmond

Research Scientist Intern (Summer 2025)

Adobe Research, San Jose

Research Scientist Intern (Summer 2024)

Other

Teaching Assistant - ECE 176: Introduction to Deep Learning & Applications (UCSD WI 2025, SP 2026)
Teaching Assistant - ECE 285: Introduction to Visual Learning (UCSD SP 2024)
Teaching Assistant - CSE 203B: Convex Optimization (UCSD WI 2022)

Design and source code from Leonid Keselman and Jon Barron
Last updated: Jul, 2026