T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences 事件

T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences arXiv:2406.00636v2 Announce Type: replace Abstract: In this paper, we address the challenging problem of long-term 3D human motion generation. Specifically, we aim to generate a long sequence of smoothly connected actions from a stream of multiple sentences (i.e., paragraph). Previous long-term motion generating approaches were mostly based on recurrent methods, using previously generated motion chunks as input for the next step