This AI Paper Dives into the Understanding of the Latent Space of Diffusion Models Through Riemannian Geometry

With the growing popularity of Artificial Intelligence and Machine Learning, its primary sub-fields, such as Natural Language Processing, Natural Language Generation, etc., are advancing at a fast pace. The recent introduction, i.e., the diffusion models (DMs), has demonstrated outstanding performance in a range of applications, including image editing, inverse issues, and text-to-image synthesis. Though these […]

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