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Factorized Motion Fields for Fast Sparse Input Dynamic View Synthesis

DescriptionThe performance of dynamic radiance fields reduces significantly with sparse input viewpoints. We design a fast and explicit motion-model using factorized volumes and regularize with flow priors. Since cross-camera dense-flow-priors are unreliable, we obtain reliable flow priors as a combination of cross-camera sparse-flow-prior and same-camera dense-flow-prior to constrain the motion-model.

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