7 citations · 8 across the 4 of their papers we have counts for
4 papers
MotionScript: Natural Language Descriptions for Expressive 3D Human Motions
Payam Jome Yazdian, Rachel Lagasse, Hamid Mohammadi +3
We introduce MotionScript, a novel framework for generating highly detailed, natural language descriptions of 3D human motions. Unlike existing motion datasets that rely on broad a…
Domain-invariant Prototypes for Semantic Segmentation
Zhengeng Yang, Hongshan Yu, Wei Sun +2
Deep Learning has greatly advanced the performance of semantic segmentation, however, its success relies on the availability of large amounts of annotated data for training. Hence,…
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts
Chuan Guo, Xinxin Zuo, Sen Wang +1
Inspired by the strong ties between vision and language, the two intimate human sensing and communication modalities, our paper aims to explore the generation of 3D human full-body…
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent
Dong Wang, Xiaoqian Qin, Fengyi Song +1
Generative adversarial networks (GANs), famous for the capability of learning complex underlying data distribution, are however known to be tricky in the training process, which wo…