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Challenges in AI Video Generation
This chapter delves into the intricacies of diffusion models in video generation, highlighting the real-time capabilities and the complexities of training models for temporal coherence. It discusses the need for standardized benchmarks to evaluate model performance and the challenges in managing large video datasets. The conversation emphasizes the importance of architectural advancements and feedback mechanisms to improve AI video generation outputs.