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DART, a training-free method that combines low-rank coordinate transport with target-schedule response calibration with forward evaluations and no source training videos is proposed, and Adapter-level results reveal positive functional effects for some adapters and strong attenuation with reduced negative functional effects for others.
Achieve near-lossless 2x speedups in long video diffusion by learning to attend only to the most relevant parts of the video, guided by motion and semantic content.
