This AI Paper Explores the Theoretical Foundations and Applications of Diffusion Models in AI

Diffusion models are sophisticated AI technologies demonstrating significant success across fields such as computer vision, audio, reinforcement learning, and computational biology. They excel in generating new samples by modeling high-dimensional data flexibly and adjusting properties to meet specific tasks. Methods in generative AI, like GANs and VAEs, have limitations in accuracy, efficiency, and flexibility in […]

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