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NTU MMLab and Shanghai AI Lab propose PhysLDM: high-fidelity physics simulation with latent diffusion

NTU MMLab and Shanghai AI Lab propose PhysLDM, which uses a spatiotemporal VAE to compress an entire deformable-object simulation trajectory into latent space and then generates it in one pass with a diffusion model, achieving an average reconstruction error of 2.48 millimeters.

Part of the event: PhysLDM: Latent Diffusion for Physical Simulation

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