Boyao Zhou
About
I am currently working as a post-doc researcher with Yebin Liu in Tsinghua University for digital humans.
In 2022, I obtained a PhD degree from INRIA Rhône-Alpes & Université Grenoble Alpes (France) under the supervision of Edmond Boyer and Jean-Sébastien Franco for the research of 3D vision. During my PhD, I was working closely with HoloLens team of Microsoft Zürich & Cambridge.
In 2018, I received an Engineer degree from Ecole Polytechnique (France) and a Master's degreee from Paris-Saclay University (France) in Data Sciences. Prior to that, I graduated from Tongji University (China).
contact: bzhou22@mail.tsinghua.edu.cn
I am looking for the next position, starting from May 2025.
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GPS-Gaussian+: Generalizable Pixel-wise 3D Gaussian Splatting for Real-Time Human-Scene Rendering from Sparse Views
Boyao Zhou*, Shunyuan Zheng*, Hanzhang Tu, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, and Yebin Liu (Equal contribution*)
Under Review
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Project page
We present GPS-Gaussian+, a generalizable 3D Gaussian Splatting, for human-centered scene rendering from sparse views in a feed-forward manner.
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HHAvatar: Gaussian Head Avatar with Dynamic Hairs
Zhanfeng Liao, Yuelang Xu, Zhe Li, Qijing Li, Boyao Zhou, Ruifeng Bai, Di Xu, Hongwen Zhang, and Yebin Liu
Under Review
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Project page
We propose HHAvatar represented by controllable 3D Gaussians for high-fidelity head avatar with dynamic hair modeling.
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Tele-Aloha: A Telepresence System with Low-budget and High-authenticity Using Sparse RGB Cameras
Hanzhang Tu, Ruizhi Shao, Xue Dong, Shunyuan Zheng, Hao Zhang, Lili Chen, Meili Wang, Wenyu Li, Siyan Ma, Shengping Zhang, Boyao Zhou#, and Yebin Liu# (Corresponding author#)
SIGGRAPH2024 Conference Proceedings
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Project page
We present a low-budget and high-authenticity bidirectional telepresence system, Tele-Aloha, targeting peer-to-peer communication scenarios.
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GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View Synthesis
Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, and Yebin Liu
Computer Vision and Pattern Recognition (CVPR2024)
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Project page
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Code
We propose GPS-Gaussian, a generalizable pixel-wise 3D Gaussian representation for synthesizing novel views of any unseen characters instantly without any fine-tuning or optimization.
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Control4D: Efficient 4D Portrait Editing with Text
Ruizhi Shao, Jingxiang Sun, Cheng Peng, Zerong Zheng, Boyao Zhou, Hongwen Zhang, and Yebin Liu
Computer Vision and Pattern Recognition (CVPR2024)
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Project page
We introduce Control4D, an innovative framework for editing dynamic 4D portraits using text instructions.
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GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians
Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, and Liqiang Nie
Computer Vision and Pattern Recognition (CVPR2024)
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Project page
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Code
We present GaussianAvatar, an efficient approach to creating realistic human avatars with dynamic 3D appearances from a single video.
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Leveraging Intrinsic Properties for Non-Rigid Garment Alignment
Siyou Lin, Boyao Zhou, Zerong Zheng, Hongwen Zhang, and Yebin Liu
International Conference on Computer Vision (ICCV2023)
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Project page
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Code
We leverage intrinsic manifold properties and neural deformation fields with a coarse-to-fine two-stage method for non-rigid garment alignment.
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PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling
Zhe Li, Zerong Zheng, Yuxiao Liu, Boyao Zhou, and Yebin Liu
SIGGRAPH2023 Conference Proceedings
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Project page
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Code
We propose a neural avatar representation with optimal pose embeddings for learning the dynamic human appearance.
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Human Body Shape Completion with Implicit Shape and Flow Learning
Boyao Zhou, Di Meng, Jean-Sébastien Franco, and Edmond Boyer
Computer Vision and Pattern Recognition (CVPR2023)
We jointly learn human shape and flow with implicit representation for completing human shapes from partial observation.
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Pyramidal Signed Distance Learning for Spatio-Temporal Human Shape Completion
Boyao Zhou, Jean-Sébastien Franco, Martin Delagorce, and Edmond Boyer
Asian Conference on Computer Vision (ACCV2022) /Code
We propose to complete human shapes in a coarse-to-fine manner from both spatial and temporal directions.
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Spatio-Temporal Human Shape Completion With Implicit Function Networks
Boyao Zhou, Jean-Sébastien Franco, Federica Bogo, and Edmond Boyer
International Conference on 3D Vision (3DV2021)
We propose to learn a continuous implicit representation of human shapes from a sequence of partial observations.
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Reconstructing Human Body Mesh from Point Clouds by Adversarial GP Network
Boyao Zhou, Jean-Sébastien Franco, Federica Bogo, Bugra Tekin, and Edmond Boyer
Asian Conference on Computer Vision (ACCV2020)
We propose to reconstruct template-aligned human shapes with adversarial Gaussian Process Network from sparse point clouds.
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Reviewers for CVPR, ECCV and ACCV.
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