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LongE2V leverages pre-trained video diffusion priors and introduces Autoregressive Unrolling, Adaptive Context Switching, Reencoding Alignment, and Event Voxel Density Augmentation to achieve high-quality video reconstruction, prediction, and frame interpolation from sparse event streams, outperforming state-of-the-art methods.