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.
Physgaussian: Physics-integrated 3d gaussians for generative dynam- ics
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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.
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.
citing papers explorer
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FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
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.
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VideoPhy: Evaluating Physical Commonsense for Video Generation
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.
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Physically Viable World Models: A Case for Query-Conditioned Embodied AI
Embodied AI requires query-conditioned world models that select the simplest physical abstraction sufficient to answer intervention queries.
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Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
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.
- GSDeformer: Direct, Real-time and Extensible Cage-based Deformation for 3D Gaussian Splatting