1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 1 cited
DC-GNet: Deep Mesh Relation Capturing Graph Convolution Network for 3D Human Shape Reconstruction
Shihao Zhou, Mengxi Jiang, Shanshan Cai +1
In this paper, we aim to reconstruct a full 3D human shape from a single image. Previous vertex-level and parameter regression approaches reconstruct 3D human shape based on a pre-…
cs.CV2020
SK-Net: Deep Learning on Point Cloud via End-to-end Discovery of Spatial Keypoints
Weikun Wu, Yan Zhang, David Wang +1
Since the PointNet was proposed, deep learning on point cloud has been the concentration of intense 3D research. However, existing point-based methods usually are not adequate to e…
cs.CV2019
Joint Representation of Multiple Geometric Priors via a Shape Decomposition Model for Single Monocular 3D Pose Estimation
Mengxi Jiang, Zhuliang Yu, Cuihua Li +1
In this paper, we aim to recover the 3D human pose from 2D body joints of a single image. The major challenge in this task is the depth ambiguity since different 3D poses may produ…