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Latent spatial memory can accelerate video generation by over 10 times while dramatically reducing memory usage, revolutionizing how we model dynamic scenes.
Long video generation fails not just because of limited context length, but because of *how* that context is allocated – and ReCA's hierarchical approach shows a way to fix it.
Expert-level video aesthetics can be captured and improved using a hierarchical rubric and reward models trained with a progressive learning scheme.
