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Learning Motion-Expressive 4D Gaussian Representations from Monocular Videos with Flow Splatting
Reconstructing dynamic 3D scenes from monocular videos remains challenging because limited observations provide insufficient motion constraints. Conventional 4D Gaussian representations model spatiotemporal appearance efficiently, but the restricted temporal evolution of each primitive makes complex
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