HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes

NeurIPS 2022

* indicates corresponding authors

¹School of Computer Science & Technology, Beijing Institute of Technology
²Beijing Institute for General Artificial Intelligence (BIGAI)
³Institute for Artificial Intelligence, Peking University
⁴Yangtze Delta Region Academy of Beijing Institute of Technology, Jiaxing

Paper | arXiv | Code | Data

Abstract

Learning to generate diverse scene-aware and goal-oriented human motions in 3D scenes remains challenging due to the mediocre characteristics of the existing datasets on Human-Scene Interaction(HSI); they only have limited scale/quality and lack semantics. To fill in the gap, we propose a large-scale and semantic-rich synthetic HSI dataset, denoted as HUMANISE, by aligning the captured human motion sequences with various 3D indoor scenes. We automatically annotate the aligned motions with language descriptions that depict the action and the unique interacting objects in the scene; e.g., sit on the armchair near the desk. HUMANISE thus enables a new generation task, language-conditioned human motion generation in 3D scenes. The proposed task is challenging as it requires joint modeling of the 3D scene, human motion, and natural language. To tackle this task, we present a novel scene-and-language conditioned generative model that can produce 3D human motions of the desirable action interacting with the specified objects. Our experiments demonstrate that our model generates diverse and semantically consistent human motions in 3D scenes.

TL;DR: We propose a large-scale and semantic-rich human-scene interaction dataset, HUMANISE. It has language description for each human-scene interaction. HUMANISE enables a new task: language-conditioned human motion generation in 3D scenes.

Dataset Gallery

1. walk


walk to the desk	walk to the couch

2. Sit


sit on the couch	sit on the armchair that is far away from the door

3. Stand up


stand up from the chair that is farthest from the laptop	stand up from the coffee table

4. Lie


lie on the bed	lie on the bed

5. Place something (supplementary action type)


place something on the coffee table	place something on the table that is in the center of the armchair and the kitchen counter

6. Knock (supplementary action type)


knock on the door	knock on the door

7. Open (supplementary action type)


open the refrigerator	open the cabinet that is in the middle of the shower and the door

Bibtex

If you find our project useful, please consider citing us:


@inproceedings{wang2022humanise,
  title={HUMANISE: Language-conditioned Human Motion Generation in 3D Scenes},
  author={Wang, Zan and Chen, Yixin and Liu, Tengyu and Zhu, Yixin and Liang, Wei and Huang, Siyuan},
  booktitle={Advances in Neural Information Processing Systems (NeurIPS)},
  year={2022}
}