AI RESEARCH
Uncertainty-Aware 4D Gaussian Splatting for Monocular Occluded Human Rendering
arXiv CS.CV
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ArXi:2602.06343v2 Announce Type: replace High-fidelity rendering of dynamic humans from monocular videos typically degrades catastrophically under occlusions. Existing solutions incorporate external priors-either hallucinating missing content via generative models, which induces severe temporal flickering, or imposing rigid geometric heuristics that fail to capture diverse appearances. To this end, we reformulate the task as a Maximum A Posteriori estimation problem under heteroscedastic observation noise.