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Teaching Video Generators to Remember: Eliciting Dynamic Memory for Out-of-Sight State Evolution

Xu, Tianshuo et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognition
Video world models should maintain evolving states when evidence is unobserved, yet current generators often freeze hidden states upon interruption. This is not simply a capacity problem: pretrained video diffusion transformers already possess KV-cache mechanisms capable of non-local retrieval, but
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