ProJo4D uses progressive joint optimization to solve sparse-view inverse physics estimation, outperforming prior methods with up to 10x better geometric accuracy in 4D state prediction and material estimation.
Risp: Rendering- invariant state predictor with differentiable simulation and rendering for cross-domain parameter estimation
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ProJo4D: Progressive Joint Optimization for Sparse-View Inverse Physics Estimation
ProJo4D uses progressive joint optimization to solve sparse-view inverse physics estimation, outperforming prior methods with up to 10x better geometric accuracy in 4D state prediction and material estimation.