@inproceedings{
qu2024livescene,
title={LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering},
author={Delin Qu and Qizhi Chen and Pingrui Zhang and Xianqiang Gao and Bin Zhao and Zhigang Wang and Dong Wang and Xuelong Li},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
year={2024},
url={https://openreview.net/forum?id=Jkt42QYyEH}
}
This paper scales object-level reconstruction to complex scenes, advancing interactive scene reconstruction. We introduce two datasets, OmniSim and InterReal, featuring 28 scenes with multiple interactive objects. To tackle the challenge of inaccurate interactive motion recovery in complex scenes, we propose LiveScene, a scene-level language-embedded interactive radiance field that efficiently reconstructs and controls multiple objects. By decomposing the interactive scene into local deformable fields, LiveScene enables separate reconstruction of individual object motions, reducing memory consumption. Additionally, our interaction-aware language embedding localizes individual interactive objects, allowing for arbitrary control using natural language. Our approach demonstrates significant superiority in novel view synthesis, interactive scene control, and language grounding performance through extensive experiments. Project page: https://livescenes.github.io.
LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Control and Rendering
Delin Qu Qizhi Chen Pingrui Zhang Xianqiang Gao Bin Zhao Zhigang Wang Dong Wang Xuelong Li