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Diffusion Models and Representation Learning: A Survey

Diffusion Models are popular generative modeling methods in various vision tasks, attracting significant attention. They can be considered a unique instance of self-supervised learning methods due to their independence from label annotation.

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Cite this as

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer (2024). Dataset: Diffusion Models and Representation Learning: A Survey. https://doi.org/10.57702/93lplt12

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2407.00783
Author	Michael Fuest
More Authors	Pingchuan Ma Ming Gui Johannes S. Fischer Vincent Tao Hu Björn Ommer