ARL2 replaces quadratic cross-frame attention in AR video diffusion with a fixed-size recurrent state, achieving linear-time scaling and constant memory while preserving quality.
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A compositional diffusion world model integrates three specialized memory experts via contrastive product-of-experts to improve temporal consistency, past recall, and navigation while scaling to long contexts without quadratic costs.
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Attend Locally, Remember Linearly: Linear Attention as Cross-Frame Memory for Autoregressive Video Diffusion
ARL2 replaces quadratic cross-frame attention in AR video diffusion with a fixed-size recurrent state, achieving linear-time scaling and constant memory while preserving quality.
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Composition of Memory Experts for Diffusion World Models
A compositional diffusion world model integrates three specialized memory experts via contrastive product-of-experts to improve temporal consistency, past recall, and navigation while scaling to long contexts without quadratic costs.