3d human motion generation from the text via gesture action classification and the autoregressive model. (arXiv:2211.10003v1 [cs.CV])

In this paper, a deep learning-based model for 3D human motion generation
from the text is proposed via gesture action classification and an
autoregressive model. The model focuses on generating special gestures that
express human thinking, such as waving and nodding. To achieve the goal, the
proposed method predicts expression from the sentences using a text
classification model based on a pretrained language model and generates
gestures using the gate recurrent unit-based autoregressive model. Especially,
we proposed the loss for …

arxiv autoregressive model classification human text