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Temporal degradation in video diffusion isn't just caused by weak cross-frame attention鈥攊t is driven by an underlying spectral imbalance between local diffuseness and global diversity that can be selectively repaired at inference time without retraining.
Achieving state-of-the-art performance in continual learning with a single shared adapter, FACET reduces parameter usage while enhancing feature discrimination across tasks.
Discovering new categories in open-world settings hinges on reshaping feature spaces, and CPF-GCD reveals how low-rank compositional structures can unlock this potential.
