4 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CV2023
Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase
Lintao Wang, Kun Hu, Lei Bai +3
Synthesizing controllable motion for a character using deep learning has been a promising approach due to its potential to learn a compact model without laborious feature engineeri…
cs.CV2022★ 4 cited
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Jialian Li, Jingyi Zhang, Zhiyong Wang +6
Existing motion capture datasets are largely short-range and cannot yet fit the need of long-range applications. We propose LiDARHuman26M, a new human motion capture dataset captur…
cs.GR2018
Combining Recurrent Neural Networks and Adversarial Training for Human Motion Synthesis and Control
Zhiyong Wang, Jinxiang Chai, Shihong Xia
This paper introduces a new generative deep learning network for human motion synthesis and control. Our key idea is to combine recurrent neural networks (RNNs) and adversarial tra…