Video generation with realistic motion (Practical AI #301)
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Advancements in Video Generation Technology
This chapter explores the evolution of video generation technology, highlighting the shift from generative adversarial networks to advanced diffusion models. It covers challenges faced by earlier methods, significant computational requirements for training, and recent innovations like the Mochi model, which improve motion depiction and prompt accuracy. The discussion delves into future implications, community-driven projects, and the balance between model size and performance in the realm of video generation.
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