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TRAC: Trajectory-aware Reuse and Adaptive Correction for Efficient Autoregressive Video Generation
In this paper, we present trajectory-aware reuse and adaptive correction (TRAC), a training-free framework for efficient autoregressive (AR) video generation. Existing acceleration methods mainly target single-trajectory generation with bidirectional attention. AR video generation, by contrast, sequ
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