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Paper · arXiv

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models

Text-to-video diffusion models generate temporally coherent content from natural language, yet when a prompt describes an early scene that persists while a new event emerges on top of it---such as "a tall sandcastle standing on a beach where a wave rushes in and washes it away"---generation frequently fails to realize the late-segment event in the corresponding frames. We identify this failure as Temporal Prior Suppression (TPS): the dominant prior of the early segment captures the cross-attention trajectory across the temporal axis and suppresses the guidance signal needed for late-segment realization, a competing tendency existing guidance mechanisms do not model. We introduce Temporal ...

AuthorsTaewon Kang, Matthias Zwicker
Primary categorycs.CV
Published29 July 2026
Last updated at source29 July 2026
cs.CV
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