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Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models
Adobe Research has developed a breakthrough approach to video world models by integrating State-Space Models (SSMs) with dense local attention mechanisms. This combination addresses a fundamental limitation in AI video generation: the inability to maintain coherent long-term memory and dependencies across extended video sequences. The researchers employed advanced training strategies including diffusion forcing and frame local attention to enhance model performance.
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