LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control

Fuente: arXiv
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Auteurs principaux: Qu, Delin, Chen, Qizhi, Zhang, Pingrui, Gao, Xianqiang, Li, Junzhe, Zhao, Bin, Wang, Dong, Li, Xuelong
Format: Preprint
Publié: 2024
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author Qu, Delin
Chen, Qizhi
Zhang, Pingrui
Gao, Xianqiang
Li, Junzhe
Zhao, Bin
Wang, Dong
Li, Xuelong
author_facet Qu, Delin
Chen, Qizhi
Zhang, Pingrui
Gao, Xianqiang
Li, Junzhe
Zhao, Bin
Wang, Dong
Li, Xuelong
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2406_16038
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
Qu, Delin
Chen, Qizhi
Zhang, Pingrui
Gao, Xianqiang
Li, Junzhe
Zhao, Bin
Wang, Dong
Li, Xuelong
Computer Vision and Pattern Recognition
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.
title LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2406.16038