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UniE2F: A Unified Diffusion Framework for Event-to-Frame Reconstruction with Video Foundation Models
Event cameras excel at high-speed, low-power, and high-dynamic-range scene perception. However, as they fundamentally record only relative intensity changes rather than absolute intensity, the resulting data streams suffer from a significant loss of spatial information and static texture details. In
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