A physically viable world model augments 3D Gaussian splats with physics simulation to assess robot route feasibility under simulated terrain changes like flooding, revealing failures not visible in static maps.
Physgaussian: Physics-integrated 3d gaussians for generative dynam- ics
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StreamForce presents a unified causal model for force-controllable streaming video generation using a new force representation and distillation pipeline, claiming SOTA force adherence and 16.6 FPS performance.
FreeForm derives reduced-order skinning weights for particle-based hyperelastic simulation by solving a generalized eigensystem on the elastic energy Hessian, achieving faster training and lower error than neural fields.
VideoPhy benchmark shows state-of-the-art text-to-video models follow physical commonsense and text prompts in only 39.6% of cases for the best model.
Hybrid system that uses ray-traced 3D Gaussians to supply radiometric guidance and material regularization to a neural renderer for editable, realistic output from captured scenes.
Embodied AI requires query-conditioned world models that select the simplest physical abstraction sufficient to answer intervention queries.
Dual-representation framework pairs fixed-topology meshes for physics with Gaussian splatting for rendering, but two conversion strategies from varying-topology reconstructions cause 65-80% geometric degradation and underperform native fixed-topology methods.
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Path Planning in Physically Viable World Models
A physically viable world model augments 3D Gaussian splats with physics simulation to assess robot route feasibility under simulated terrain changes like flooding, revealing failures not visible in static maps.