Structure-Preserving 3D Garment Modeling with Neural Sewing Machines

no code implementations • 12 Nov 2022 • Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin

In this paper, we propose a novel Neural Sewing Machine (NSM), a learning-based framework for structure-preserving 3D garment modeling, which is capable of learning representations for garments with diverse shapes and topologies and is successfully applied to 3D garment reconstruction and controllable manipulation.

Garment Reconstruction Representation Learning

Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

no code implementations • CVPR 2019 • Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Xiaogang Wang, Liang Lin

Recent studies have shown remarkable advances in 3D human pose estimation from monocular images, with the help of large-scale in-door 3D datasets and sophisticated network architectures.

3D Human Pose Estimation

DRPose3D: Depth Ranking in 3D Human Pose Estimation

no code implementations • 23 May 2018 • Min Wang, Xipeng Chen, Wentao Liu, Chen Qian, Liang Lin, Lizhuang Ma

In this paper, we propose a two-stage depth ranking based method (DRPose3D) to tackle the problem of 3D human pose estimation.

3D Human Pose Estimation 3D Pose Estimation