← 研踪 PaperTrailCVF · CVPR 2026:cvf:bbb8a0ec55b331a0787a12720899a4c4 · 记录 #1
TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction
来源日期（仅到年份） 2026
来源记录日期 2026
雷达观测 2026-11-05 02:50
摘要
We present TempoMaster, a novel framework that formulates long video generation as next-frame-rate prediction. Specifically, we first generate a low-frame-rate clip that serves as a coarse blueprint of the entire video sequence, and then progressively increase the frame rate to refine visual details and motion continuity. During generation, TempoMaster employs bidirectional attention within each frame-rate level while performing autoregression across frame rates, thus achieving long-range temporal coherence while enabling efficient and parallel synthesis. Extensive experiments demonstrate that TempoMaster establishes a new state-of-the-art in long video generation, excelling in both visual and temporal quality.
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记录 #1 · 2026 · 最新观测版本
TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction
We present TempoMaster, a novel framework that formulates long video generation as next-frame-rate prediction. Specifically, we first generate a low-frame-rate clip that serves as a coarse blueprint of the entire video sequence, and then progressively increase the frame rate to refine visual details and motion continuity. During generation, TempoMaster employs bidirectional attention within each frame-rate level while performing autoregression across frame rates, thus achieving long-range temporal coherence while enabling efficient and parallel synthesis. Extensive experiments demonstrate that TempoMaster establishes a new state-of-the-art in long video generation, excelling in both visual and temporal quality.
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