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A Video Model Learned Where Materials Would Tear
FracGen predicted RGB frames and dense physical fields together, with controls for crack origin and propagation.
Summary
FracGen predicted RGB frames and dense physical fields together, with controls for crack origin and propagation.
FracGen trains on FracSim, which adds a continuum-damage model to Material Point Method simulation and produces paired fracture videos with pixel-aligned physical fields. The generator predicts those fields alongside RGB video and uses physics-informed losses to keep them consistent. The authors report material-specific stretching and tearing, plus controls for tear location, crack speed and pre-failure deformation, and say it beats tested video baselines in physical and visual fidelity. It remains a learned approximation evaluated on the paper's benchmark, not an engineering fracture solver.
Why it matters
FracGen predicted RGB frames and dense physical fields together, with controls for crack origin and propagation.
Limits and context
- It remains a learned approximation evaluated on the paper's benchmark, not an engineering fracture solver.
Key claims
FracGen predicted RGB frames and dense physical fields together, with controls for crack origin and propagation.
Qualification: It remains a learned approximation evaluated on the paper's benchmark, not an engineering fracture solver.
Evidence: source-2026-09-30-012
Sources
- arXiv preprint 2609.38152arXiv · primary research
Corrections
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