Abstract
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.
| Original language | English |
|---|---|
| Journal | Advances in Neural Information Processing Systems |
| Volume | 37 |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 38th Conference on Neural Information Processing Systems, NeurIPS 2024 - Vancouver, Canada Duration: 9 Dec 2024 → 15 Dec 2024 |
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