no code implementations • 27 Apr 2024 • Pinxuan Dai, Jiamin Xu, Wenxiang Xie, Xinguo Liu, Huamin Wang, Weiwei Xu
We propose a novel point-based representation, Gaussian surfels, to combine the advantages of the flexible optimization procedure in 3D Gaussian points and the surface alignment property of surfels.
no code implementations • 22 Jun 2021 • Liguo Jiang, Miaopeng Li, Jianjie Zhang, Congyi Wang, Juntao Ye, Xinguo Liu, Jinxiang Chai
We show the system advances the frontier of 3D human body and pose reconstruction from single images by quantitative evaluations and comparisons with state-of-the-art methods.
no code implementations • ICCV 2021 • Zhanliang Wang, Junyu Dong, Xinguo Liu, Xueying Zeng
Our method is motivated by the recently proposed t-product based on any invertible linear transforms.
no code implementations • 26 Jul 2018 • Miaopeng Li, Zimeng Zhou, Jie Li, Xinguo Liu
In this work, we propose a new method for multi-person pose estimation which combines the traditional bottom-up and the top-down methods.
no code implementations • CVPR 2013 • Ming Zeng, Jiaxiang Zheng, Xuan Cheng, Xinguo Liu
We represent the shape motion by a deformation graph, and propose a model-to-part method to gradually integrate sampled points of depth scans into the deformation graph.