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Achieve SOTA in long-horizon spatial understanding by training a model to streamingly maintain and update spatial evidence from video via test-time adaptation of fast weights.
Ditch the linear CFG gains: Sliding Mode Control offers provably stable and semantically richer diffusion guidance, especially when you crank up the guidance scale.
Achieve more realistic and physically plausible scene reconstructions from video by explicitly optimizing viewpoints for object generation and synthesizing scene graphs within a 3D simulator.
