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Achieve competitive novel-view synthesis with a 4MB footprint and 78ms inference by learning a compact global scene representation *before* decoding 3D geometry.
Forget training: SemanticMoments achieves state-of-the-art motion-based video retrieval by simply computing temporal statistics over features from pre-trained semantic models.