[KongchangAI]
Model鲁棒周期4DGS

Inconsistency-Robust Periodic 4DGS

A 4D Gaussian splatting model proposed within the OuroWorld framework that learns coherent and diverse dynamics from noisy supervision signals containing cross-view inconsistencies. It comprises two key components: a Fourier series deformation field, which models periodic motion, and a grounded drift field, which absorbs residual inconsistencies so that the main deformation field can learn clean, coherent dynamics.

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Oct 12

OuroWorld proposes Inconsistency-Robust Periodic 4DGS, which contains two key components, the Fourier series deformation field and the Grounded Drift Field, to learn dynamics from imperfect supervision signals.

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