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New SAM3D-Phys Framework Enables Interactive 3D Object Simulation

By PulseAugur Editorial · [2 sources] ·

Researchers have developed SAM3D-Phys, a new framework designed to reconstruct complete and physically simulatable 3D object geometry from real-world scenes. Existing multi-view reconstruction methods often yield incomplete object models due to occlusions, limiting their use in physics simulations. SAM3D-Phys integrates scene reconstruction with generative 3D priors from SAM3D to infer full object geometry, ensuring consistency with the original scene through physics-constrained optimization and appearance refinement. AI

IMPACT Enables more realistic physics-based interactions in reconstructed real-world scenes by providing complete object geometry.

RANK_REASON The cluster contains a research paper detailing a new framework for 3D object reconstruction and simulation.

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New SAM3D-Phys Framework Enables Interactive 3D Object Simulation

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The cluster contains a research paper detailing a new framework for 3D object reconstruction and simulation.
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COVERAGE [2]

  1. arXiv cs.CV TIER_1 English(EN) · Xin Dong, Weijian Deng, Lihan Zhang, Tianru Dai, Wenfeng Deng, Yansong Tang ·

    SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World

    arXiv:2605.30239v1 Announce Type: new Abstract: This work addresses the problem of recovering complete, simulatable object geometry from reconstructed real-world scenes, enabling physics-based interaction with objects embedded in the scene. While modern multi-view reconstruction …

  2. arXiv cs.CV TIER_1 English(EN) · Yansong Tang ·

    SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World

    This work addresses the problem of recovering complete, simulatable object geometry from reconstructed real-world scenes, enabling physics-based interaction with objects embedded in the scene. While modern multi-view reconstruction methods can produce visually accurate environmen…

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