Research
I am currently focusing on utilizing neural scene representations to understand, reconstruct, render and edit real world.
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Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation
Xinhang Liu, Jiaben Chen, Huai Yu, Yu-Wing Tai, Chi-Keung Tang
NeurIPS, 2022
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arXiv /
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data
We study segmenting objects in 3D during reconstruction given only unlabeled multi-view images of a scene, from an information-theoretic perspective.
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Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
Liao Wang*, Jiakai Zhang*, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu Lan Xu, Jingyi Yu
CVPR, 2022
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arXiv
A novel technique to tackle efficient neural modeling and real-time rendering of dynamic scenes captured under the free-view video (FVV) setting.
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Editable Free-Viewpoint Video using a Layered Neural Representation
Jiakai Zhang, Xinhang Liu, Xinyi Ye, Fuqiang Zhao, Yanshun Zhang, Minye Wu, Yingliang Zhang, Lan Xu, Jingyi Yu
SIGRRAPH, 2021
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arXiv /
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Two Minute Papers
The first approach for editable photo-realistic free-viewpoint video generation for large-scale dynamic scenes using only sparse 16 cameras.
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Service & Teaching
Conference Reviewer of CVPR 2022/2023.
CS182 Introduction to Machine Learning (21F), Teaching Assistant.
SI100B Introduction to Information Science and Technology (21F), Teaching Assistant.
CS276 Computational Photography (21F), Guest Lecture in 'NeRF'.
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Design and source code modified based on Jon Barron's website
Last update: Sep, 2022
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