mlsanityData to 14 Oct 2026

Hearing Hands: Generating Sounds from Physical Interactions in 3D Scenes

arXiv 2506.09989 ↗First posted 11 Jun 2025cs.CVcited by 2

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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.

References · 40

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28 more
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 2.

2 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2022Generating Holistic 3D Human Motion from Speech
  2. 2026Track, Articulate, Act: Generating Articulation from Casual Human Videos
  3. 2025Visual Acoustic Fields
  4. 2025Re-HOLD: Video Hand Object Interaction Reenactment via adaptive Layout-instructed Diffusion Model
  5. 2023Affordance Diffusion: Synthesizing Hand-Object Interactions
  6. 2023ContactArt: Learning 3D Interaction Priors for Category-level Articulated Object and Hand Poses Estimation
  7. 2024From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations
  8. 2024HOIDiffusion: Generating Realistic 3D Hand-Object Interaction Data