Isabella Liu

I am a third-year Ph.D. student at University of California, San Diego, advised by Prof. Hao Su and Prof. Xiaolong Wang. Previously, I obtained my Bachelor's degree in Computer Science and Statistics from University of Illinois, Urbana-Champaign, and my Master's degree in Computer Science from University of California, San Diego.

My research interests broadly lie in computer vision and graphics. Recently I work on projects about 3D reconstruction, neural / inverse rendering and dynamic content reconstruction / generation.

Email  /  LinkedIn  /  Twitter  /  GitHub  /  Google Scholar

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News

[10/06/24] One paper accepted by NeurIPS 2024.

[06/24/24] Started my summer internship at Adobe Research.


Publications

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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) [New]
project page / arxiv /

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Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular Videos


Isabella Liu, Hao Su, Xiaolong Wang
arXiv 2024 [New]
project page / arxiv /

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OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects


Isabella Liu*, Linghao Chen*, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su
NeurIPS 2023 Datasets and Benchmarks
project page / arxiv /

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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 /

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ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation


Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su
CVPR 2022
project page / arxiv /

Experience



Adobe Research

Adobe Research

Research Intern (Summer 2024)


Other

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: Oct, 2024