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ViViD is a new framework for video virtual try-on utilizing diffusion models. It extracts fine semantic features of clothing by designing a clothing encoder, and introduces a lightweight pose encoder to ensure spatiotemporal consistency and generate realistic video try-on effects. ViViD has collected the largest video virtual try-on data set with the most diverse clothing types and the highest resolution to date.
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