Jiayi Liu

I am a Ph.D. candidate at Simon Fraser University in GrUVi & 3DLG lab. I am honored to be co-supervised by Prof. Arash (Ali) Mahdavi-Amiri and Prof. Manolis Savva. Before this, I received my M.Sc. degree in computer science from University of Southern California.

A central motivation of my work is how to bridge visual observation, 3D geometry, functional structure, and physical interaction. Moving beyond static 3D shapes, I am especially interested in 3D representations that capture how objects are structured, how they move, and how they support interaction in everyday environments.

In the long term, I hope to contribute to interactive world modeling for robotics and embodied AI. I am excited by building virtual environments where agents can learn to interact with the world through physically meaningful actions.

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Publications

2026

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    Artiverse: A Diverse and Physically Grounded Dataset for Articulated Objects
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026

2025

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    Survey on Modeling of Human-made Articulated Objects
    Jiayi LiuManolis Savva, and Ali Mahdavi-Amiri
    In Eurographics STAR (State of The Art Report), Computer Graphics Forum, 2025
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    SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects
    In Proceedings of the International Conference on Learning Representations (ICLR), 2025

2024

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    CAGE: Controllable Articulation GEneration
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024

2023

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    PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
    Jiayi LiuAli Mahdavi-Amiri, and Manolis Savva
    In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023

2022

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    Exemplar-based Pattern Synthesis with Implicit Periodic Field Network
    In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022

2021

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    Topologically Consistent Multi-View Face Inference Using Volumetric Sampling
    In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021