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Achieving higher novel-view quality in 3D scene generation without requiring dense volumetric representations or ground-truth supervision is a game changer for practical applications.
Merging vision models for diverse tasks just got way faster: a simple "task alignment" score lets you pick the best merge without expensive retraining.
