Chong Bao
I am a Ph.D. student (2020-now) at the State Key Lab of CAD&CG, Zhejiang
University, advised by Prof. Guofeng Zhang and Prof. Zhaopeng Cui .
Now, I am a visiting student at ETH Zürich, advised by Marc Pollefeys .
My research interests are in 3D computer vision and AR/VR, specifically neural rendering, structure from motion, and human avatar.
Email  / 
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Github
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GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
Chong Bao* ,
Yinda Zhang* ,
Yuan Li* ,
Xiyu Zhang ,
Bangbang Yang ,
Hujun Bao ,
Marc Pollefeys ,
Guofeng Zhang ,
Zhaopeng Cui
CVPR , 2024
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arXiv
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We present a generic approach to edit 3D avatars in various volumetric representations from a single perspective.
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Mirror-NeRF:
Learning Neural Radiance Fields for Mirrors with Whitted-Style Ray Tracing
Junyi Zeng* ,
Chong Bao* ,
Rui Chen ,
Zilong Dong ,
Guofeng Zhang ,
Hujun Bao ,
Zhaopeng Cui
MM , 2023
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arXiv
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We present a novel neural rendering framework, which is able to learn accurate geometry and reflection of
the mirror and support various scene manipulation applications.
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IntrinsicNeRF:
Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis
Weicai Ye* ,
Shuo Chen* ,
Chong Bao ,
Hujun Bao ,
Marc Pollefeys ,
Zhaopeng Cui ,
Guofeng Zhang
ICCV , 2023
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arXiv
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We introduce intrinsic decomposition into the
NeRF-based neural rendering method and can perform editable novel view synthesis in room-scale scenes.
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SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
Chong Bao* ,
Yinda Zhang* ,
Bangbang Yang* ,
Tianxing Fan ,
Zesong Yang ,
Hujun Bao ,
Guofeng Zhang ,
Zhaopeng Cui
CVPR , 2023
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arXiv
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We present
a novel semantic-driven NeRF editing approach, which enables users to edit a neural radiance field with a single image.
EC-SfM: Efficient Covisibility-based Structure-from-Motion for Both Sequential and Unordered Images
Zhichao Ye ,
Chong Bao ,
Xin Zhou ,
Haomin Liu ,
Hujun Bao ,
Guofeng Zhang
TCSVT , 2023
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arXiv
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We
present an efficient covisibility-based incremental
SfM and exploit covisibility
and registration dependency to describe the image connection
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NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field
for Geometry and Texture Editing
Bangbang Yang* ,
Chong Bao* ,
Junyi Zeng ,
Hujun Bao ,
Yinda Zhang ,
Zhaopeng Cui ,
Guofeng Zhang
ECCV , 2022   (Oral Presentation)
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arXiv
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We present a novel mesh-based implicit field with disentangled geometry and texture codes on mesh vertices, which facilitates a set of editing functionalities.
Crossview Mapping with Graph-based Geolocalization on City-Scale Street Maps
Zhichao Ye ,
Chong Bao ,
Xinyang Liu ,
Hujun Bao ,
Zhaopeng Cui ,
Guofeng Zhang
ICRA , 2022
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We present
a low-cost mapping solution that is able to refine and align
the monocular reconstructed point cloud given a public street
map.
ARCargo: Multi-Device Integrated Cargo Loading Management System with Augmented Reality
Tianxiang Zhang* ,
Chong Bao* ,
Hongjia Zhai* ,
Jiazhen Xia ,
Weicai Ye ,
Guofeng Zhang
CyberSciTech , 2021
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We present a multi-device integrated cargo loading management system with AR, which monitors cargoes by fusing perceptual information from multiple devices in real-time.
ARCT
Ziyang Zhang ,
Chong Bao ,
Hai Li ,
First prize in China Mobile Application Innovation Competition, held by Apple.
, 2021
appstore
We develop a platform realizing augmented urban reality based on scene localization.