15 citations · 30 across the 6 of their papers we have counts for
6 papers
HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation
Zuyan Liu, Gaojie Lin, Congyi Wang +2
With an enormous number of hand images generated over time, unleashing pose knowledge from unlabeled images for supervised hand mesh estimation is an emerging yet challenging topic…
MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
Congyi Wang, Feida Zhu, Shilei Wen
Existing methods proposed for hand reconstruction tasks usually parameterize a generic 3D hand model or predict hand mesh positions directly. The parametric representations consist…
Deep3DPose: Realtime Reconstruction of Arbitrarily Posed Human Bodies from Single RGB Images
Liguo Jiang, Miaopeng Li, Jianjie Zhang +4
We introduce an approach that accurately reconstructs 3D human poses and detailed 3D full-body geometric models from single images in realtime. The key idea of our approach is a no…
A causal convolutional neural network for multi-subject motion modeling and generation
Shuaiying Hou, Congyi Wang, Wenlin Zhuang +5
Inspired by the success of WaveNet in multi-subject speech synthesis, we propose a novel neural network based on causal convolutions for multi-subject motion modeling and generatio…
Towards 3D Dance Motion Synthesis and Control
Wenlin Zhuang, Yangang Wang, Joseph Robinson +4
3D human dance motion is a cooperative and elegant social movement. Unlike regular simple locomotion, it is challenging to synthesize artistic dance motions due to the irregularity…
Music2Dance: DanceNet for Music-driven Dance Generation
Wenlin Zhuang, Congyi Wang, Siyu Xia +2
Synthesize human motions from music, i.e., music to dance, is appealing and attracts lots of research interests in recent years. It is challenging due to not only the requirement o…