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Wanquan Feng (冯万泉)

I am currently a researcher at ByteDance, working on exciting projects related to 2D/3D AIGC, 3D vision, and digital human. I served as a researcher at Y-tech, Kuaishou Technology (Kwai Inc.) from July 2022 to November 2023. I earned my Ph.D. degree in 2022 from the University of Science and Technology of China (USTC), under the guidance of Prof. Juyong Zhang. Prior to my doctorate, I obtained my bachelor's degree in Statistics from USTC in 2016.

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Towards Practical Capture of High-Fidelity Relightable Avatars
Haotian Yang, Mingwu Zheng, Wanquan Feng, Haibin Huang, Yu-Kun Lai, Pengfei Wan, Zhongyuan Wang, Chongyang Ma
ACM SIGGRAPH Asia, 2023
paper video

Differentiable Deformation Graph based Neural Non-rigid Registration
Wanquan Feng, Hongrui Cai, Junhui Hou, Bailin Deng, Juyong Zhang
Communications in Mathematics and Statistics (CIMS), 2023
paper video

Neural Surface Reconstruction of Dynamic Scenes with Monocular RGB-D Camera
Hongrui Cai, Wanquan Feng, Xuetao Feng, Yan Wang, Juyong Zhang
NeurIPS, 2022
project page / paper

Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang
CVPR, 2022
project page / paper

Recurrent Multi-view Alignment Network for Unsupervised Surface Registration
Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao
CVPR, 2021
project page / paper

GDR-Net: A Geometric Detail Recovering Network for 3D Scanned Objects
Wanquan Feng, Juyong Zhang, Yuanfeng Zhou, Shiqing Xin
TVCG, 2022