Tagged articles

End-to-End Differentiable

1 articles · Page 1 of 1
Machine Heart
Machine Heart
Nov 2, 2026 · Artificial Intelligence

PhysLDM: Latent Diffusion Paradigm for High-Fidelity Deformable Simulation

PhysLDM introduces a latent diffusion paradigm for high-fidelity deformable simulation, achieving millimeter-level reconstruction accuracy, zero-shot generalization to unseen objects, and end-to-end differentiability by compressing entire simulation trajectories into a spatio-temporal VAE and generating them with a diffusion model, outperforming regression and autoregressive baselines in chaotic dynamics.

Chaotic DynamicsDeformable ObjectsEnd-to-End Differentiable
0 likes · 11 min read
PhysLDM: Latent Diffusion Paradigm for High-Fidelity Deformable Simulation