mlsanityData to 14 Oct 2026

FractureFields: Contact-Aware Binary Multi-Field Transfer for Fractured 3D Gaussian Simulation

arXiv 2608.28982 ↗First posted 29 Aug 2026cs.CVcited by 0

Not on the map. Why?

Abstract (arXiv)

Physics-integrated 3D Gaussian representations make it possible to simulate image-reconstructed assets directly as particles, but current Gaussia-MPM pipelines keep a single Eulerian velocity field even after fracture. When disconnected fragments share interpolation support, they still write to and read from the same grid nodes, producing cross-fragment momentum leakage that appears as residual adhesion and non-physical stretching. We present FractureFields, a topology-adaptive transfer for fractured 3D Gaussian objects. After a structural event assigns persistent fragment identities, FractureFields builds fragment-specific mass and momentum fields in a single P2G pass, advances each field independently, and performs a field-aware G2P update so particles only sample their own fragment's grid state. To handle re-contact, we add a momentum-conserving contact projection that applies equal and opposite normal impulses only when two fragment fields are approaching, preserving free separation otherwise. Experiments on reconstructed scenes and a controlled re-contact benchmark show that fragment-conditioned routing eliminates realized cross-fragment mixing by construction, while contact projection reduces interpenetration during collision without reintroducing residual coupling. Overall, we argue that post-fracture simulation should treat structural disconnection as a change in local dynamical state, not merely a change in constitutive stress.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 33 references that are in the map. First posted on arXiv 29 Aug 2026.

Builds on

13 of 33 references.

References · 13

  1. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  2. 2020D-NeRF: Neural Radiance Fields for Dynamic Scenescited by 1,465
  3. 20234D Gaussian Splatting for Real-Time Dynamic Scene Renderingcited by 1,157
  4. 2023Dynamic 3D Gaussians: Tracking by Persistent Dynamic View Synthesiscited by 737
  5. 2023PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamicscited by 377
  6. 2024VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Realitycited by 179
  7. 2023PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identificationcited by 154
  8. 2024PhyRecon: Physically Plausible Neural Scene Reconstructioncited by 45
  9. 2024PhysMotion: Physics-Grounded Dynamics From a Single Imagecited by 45
  10. 2025DecoupledGaussian: Object-Scene Decoupling for Physics-Based Interactioncited by 17
  11. 2026GaussianFluent: Gaussian Simulation for Dynamic Scenes with Mixed Materialscited by 7
  12. 2026FastPhysGS: Accelerating Physics-based Dynamic 3DGS Simulation via Interior Completion and Adaptive Optimizationcited by 4
1 more
  1. 2021A momentum preserving frictional contact algorithm based on affine particle-in-cell grid transferscited by 1

Built on by

Not cited yet.