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IMPACT: Image-Conditioned Motion with Physics-Aware Collision and Trajectory Guidance for Video Generation — arXiv:2611.01372

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.01372
License (as archived): CC0-1.0
Archived: 2026-11-03T11:41:23.346Z
SHA-256 of the archived text: d7982819a0de53c18eac1fd598ac43aa8d36b18c29333d56826febbb694d7d80
Stable URL of this page: https://metraipolis.com/documento/dc_fa3985e0ebfc

How to cite

IMPACT: Image-Conditioned Motion with Physics-Aware Collision and Trajectory Guidance for Video Generation — arXiv:2611.01372 — arXiv (en), https://arxiv.org/abs/2611.01372 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fa3985e0ebfc (Metraipolis archive dc_fa3985e0ebfc, sha256 d7982819a0de53c18eac1fd598ac43aa8d36b18c29333d56826febbb694d7d80)

BibTeX

@misc{dcfa3985e0ebfc,
  title = {IMPACT: Image-Conditioned Motion with Physics-Aware Collision and Trajectory Guidance for Video Generation — arXiv:2611.01372},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.01372},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fa3985e0ebfc; sha256 d7982819a0de53c18eac1fd598ac43aa8d36b18c29333d56826febbb694d7d80},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.01372. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Visually realistic video generation does not guarantee physically consistent motion. Generated objects may exhibit implausible collision responses or rebounds without energy dissipation, while even physically valid motion predictions may not be faithfully realized during synthesis. We propose \textbf{IMPACT}, a physics-state-driven image-to-video framework that addresses these challenges by coupling explicit dynamics prediction with complementary sparse--dense physical guidance. A learnably calibrated Physics State Generator unifies continuous free-flight dynamics with discrete collision responses, linking impact timing, post-impact velocity, rebound attenuation, and eventual settling within a coherent physical-state sequence. To translate this evolution into effective generative constraints, IMPACT derives sparse trajectories and dense region-level motion priors from the same physical rollout. Sparse trajectories constrain global object displacement, while dense priors guide diffusion sampling to encourage coherent object-region motion and suppress unwanted background changes. Their shared physical basis coordinates global and local motion guidance to reduce prediction--generation mismatch. Experiments on 100 controlled sphere--plane collision scenes spanning different material combinations and visual environments demonstrate improved physical plausibility over representative general-purpose, physics-grounded, and motion-controllable baselines. The project repository is available at this https URL

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2611.01372 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T11:06:37.475Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).