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ID: 300451605
Page Link: http://vocab.getty.edu/page/aat/300451605

 

Record Type: concept
latent diffusion models (image processing, <computer image-making processes and techniques>, ... Processes and Techniques (hierarchy name))

 

Note: A class of probabilistic, iterative, and generative models that turn noise into a representative data sample used by AI to create high-quality images.
 
Terms:
latent diffusion models (preferred,C,U,English-P,D,U,PN)
latent diffusion model (C,U,English,AD,U,SN)
LDM (C,U,English,UF,U,U)

Facet/Hierarchy Code:  K.KT

Hierarchical Position:

Hierarchy of Activities Facet
Activities Facet
Hierarchy of Processes and Techniques (hierarchy name)
.... Processes and Techniques (hierarchy name) (G)
Hierarchy of <processes and techniques by specific type>
........ <processes and techniques by specific type> (G)
Hierarchy of <image-making processes and techniques>
............ <image-making processes and techniques> (G)
Hierarchy of <computer image-making processes and techniques>
................ <computer image-making processes and techniques> (G)
Hierarchy of image processing
.................... image processing (G)
Hierarchy of latent diffusion models
........................ latent diffusion models (G)

Sources and Contributors:
latent diffusion model............  [VP]
.........................................  Itoi, Could Stable Diffusion Solve a Gap, HAI, Stanford University (2022)
latent diffusion models............  [VP Preferred]
.........................................  Itoi, Could Stable Diffusion Solve a Gap, HAI, Stanford University (2022)
.........................................  Pinaya, et al., Brain imaging generation with latent diffusion models, Deep Generative Models (2022)
.........................................  Rombach, et al., High-res. image synthesis with latent diffusion models, Proceedings of the IEEE/CVF (2022)
LDM............  [VP]
...........  Rombach, et al., High-res. image synthesis with latent diffusion models, Proceedings of the IEEE/CVF (2022)
 
Subject: .....  [VP]
 
Note:
English .......... [VP]
.......... Rombach, et al., High-res. image synthesis with latent diffusion models, Proceedings of the IEEE/CVF (2022)

 

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