Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes
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Abstract (arXiv)
We study the problem of making 3D scene reconstructions interactive by asking the following question: can we predict the sounds of human hands physically interacting with a scene? First, we record a video of a human manipulating objects within a 3D scene using their hands. We then use these action-sound pairs to train a rectified flow model to map 3D hand trajectories to their corresponding audio. At test time, a user can query the model for other actions, parameterized as sequences of hand poses, to estimate their corresponding sounds. In our experiments, we find that our generated sounds accurately convey material properties and actions, and that they are often indistinguishable to human observers from real sounds. Project page: https://www.yimingdou.com/hearing_hands/
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 40 of its 51 references that are in the map. First posted on arXiv 11 Jun 2025.
Builds on
40 of 51 references.
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Built on by
Citing papers per year: 2026: 2.
2 papers.
- 2026SiPhy: Single-Image Physical Property Reasoningcited by 2
- 2026Objects as Audio-Visual Modal Sound Fieldscited by 0
- 2026Objects as Audio-Visual Modal Sound Fields5 Aug 2026
- 2026SiPhy: Single-Image Physical Property Reasoning24 Jul 2026
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