Isabella LiuI 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
Publications
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RigAnything: Template-Free Autoregressive Rigging for Diverse 3D AssetsIsabella Liu, Zhan Xu, Wang Yifan, Hao Tan, Zexiang Xu, Xiaolong Wang, Hao Su, Zifan Shi ArXiv 2025 [New] project page / arxiv / |
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Dynamic Gaussians Mesh: Consistent Mesh Reconstruction from Monocular VideosIsabella Liu, Hao Su, Xiaolong Wang ICLR 2025 project page / arxiv / |
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MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction ModelMinghua 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 / |
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OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real ObjectsIsabella 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 RenderingHaian 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 AnnotationIsabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su CVPR 2022 project page / arxiv / |
Experience
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Adobe Research Research Intern (Summer 2024) |
Other
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Teaching Assistant - ECE 176: Introduction to Deep Learning & Applications (UCSD WI 2025)
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Design and source code from Leonid Keselman and Jon Barron
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