Boyao Zhou


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).


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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 / Project page

We present a low-budget and high-authenticity bidirectional telepresence system, Tele-Aloha, targeting peer-to-peer communication scenarios.

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) / Project page / 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.

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) / Project page

We introduce Control4D, an innovative framework for editing dynamic 4D portraits using text instructions.

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) / Project page / Code

We present GaussianAvatar, an efficient approach to creating realistic human avatars with dynamic 3D appearances from a single video.

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) / Project page / Code

We leverage intrinsic manifold properties and neural deformation fields with a coarse-to-fine two-stage method for non-rigid garment alignment.

PoseVocab: Learning Joint-structured Pose Embeddings for Human Avatar Modeling
Zhe Li, Zerong Zheng, Yuxiao Liu, Boyao Zhou, and Yebin Liu
SIGGRAPH2023 Conference Proceedings / Project page / Code

We propose a neural avatar representation with optimal pose embeddings for learning the dynamic human appearance.

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.

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.

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.

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.

Anomaly Detection and Explanation Discovery on Event Streams
Fei Song, Boyao Zhou, Quan Sun, Wang Sun, Shiwen Xia, and Yanlei Diao
PhD thesis Inferring Dense Human Representation from Sparse or Incomplete Point Clouds
Academic Services
Reviewers for CVPR, ECCV and ACCV.

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