AI ResearchMay 28, 2025, 9:31 AM

Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models

TickrWire Editorial Desk·May 28, 2025, 9:31 AM·1 min read AI-assisted, human-reviewed

Reported by Synced: Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models. Analysis and context written by TickrWire.

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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.

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Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models
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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.

Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models first appeared on Synced.

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