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Diffusion models get a free lunch: a new sampler that cuts FID scores by up to 20% just by injecting the right kind of noise at each step.
Achieve competitive novel-view synthesis with a 4MB footprint and 78ms inference by learning a compact global scene representation *before* decoding 3D geometry.