Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models
Evolving story · 1 updatesAdobe Research Advances Long-Term Memory in Video GenerationTimeline →Adobe Research proposes a method using State-Space Models and dense local attention to enable long-term memory in video generation models, addressing a key challenge in video world models.
By combining State-Space Models (SSMs) for efficient long-range dependency modeling with dense local attention for coherence, and using training strategies like diffusion forcing and frame local attention, researchers from Adobe Research successfully overcome the long-standing challenge of long-term memory in video generation.
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