Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement

Abstract

Markov Chain Monte Carlo (MCMC) sampling. Extensive experiments demonstrate that our method outperforms the state-of-the-art models on the B2H dataset and our newly collected TED Hands dataset. The dataset and code are available at Diverse-3D-Hand-Gesture-Prediction.

UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons

“…Although the number and position of the different skeleton joints are different, they all correspond to homeomorphic (topologically equivalent) graphs [81]. Unlike sign language or hand gestures, there is a weak correlation between speech and body gestures at a coarse-grained level [61,84]. Specifically, we assume that the gesture details associated with speech are contained in the primal skeleton gesture.…”