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Video diffusion transformers exhibit a hidden "magnitude hierarchy" in their activations that can be exploited for training-free quality improvements via a simple steering method.
Achieve controllable multi-character animation with arbitrary numbers of characters by preventing identity entanglement and improving identity-pose binding via instance-isolated latent representations and decoupled attention.
