Diffusion Models for Video Generation
Read OriginalThis technical article delves into using diffusion models for video generation, a more complex task than image synthesis due to temporal consistency and data requirements. It reviews approaches for training video models from scratch, detailing parameterization, sampling basics, and the v-prediction method to avoid issues like color shift.
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