HORIA: 4D Human and Object Reconstruction from a Monocular Video with Interaction-Aware Re-Rendering
Joint 4D reconstruction of a human and object from a monocular video is essential for understanding how people interact with their environment.
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Key points
- To address these challenges, we introduce HORIA, built upon two core designs.
- Second, conditioned on these text descriptions of the interaction, we propose an interaction-aware re-rendering that compensates for the limited single-view observation.
- Specifically, we render the initially reconstructed 4D human and object from novel viewpoints and refine the renderings with a text-to-video diffusion prior, which provides auxiliary novel-view supervision beyond single-view cues.
- As a result, our framework produces temporally coherent and accurate 4D reconstructions under diverse interaction scenarios, achieving state-of-the-art performance.
Sources (1)
- [1]HORIA: 4D Human and Object Reconstruction from a Monocular Video with Interaction-Aware Re-RenderingarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 19, 07:52 AM
Joint 4D reconstruction of a human and object from a monocular video is essential for understanding how people interact with their environment.
To address these challenges, we introduce HORIA, built upon two core designs.
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