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gptkbp:instanceOf
|
deep generative model
|
|
gptkbp:advantage
|
computational efficiency
high-resolution image generation
|
|
gptkbp:architecture
|
diffusion model
|
|
gptkbp:arXivID
|
2112.10752
|
|
gptkbp:author
|
gptkb:Björn_Ommer
gptkb:Andreas_Blattmann
gptkb:Dominik_Lorenz
gptkb:Patrick_Esser
gptkb:Robin_Rombach
|
|
gptkbp:citation
|
gptkb:High-Resolution_Image_Synthesis_with_Latent_Diffusion_Models
|
|
gptkbp:developedBy
|
gptkb:CompVis
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Latent Diffusion Models
|
|
gptkbp:implementedIn
|
gptkb:PyTorch
|
|
gptkbp:input
|
gptkb:illustrator
text prompt
|
|
gptkbp:introducedIn
|
2022
|
|
gptkbp:notableFor
|
gptkb:DreamBooth
gptkb:Stable_Diffusion
super-resolution
image editing
inpainting
|
|
gptkbp:openSource
|
true
|
|
gptkbp:operatesIn
|
latent space
|
|
gptkbp:output
|
gptkb:illustrator
|
|
gptkbp:publishedIn
|
gptkb:CVPR_2022
|
|
gptkbp:relatedTo
|
gptkb:Stable_Diffusion
gptkb:Denoising_Diffusion_Probabilistic_Models
|
|
gptkbp:trainer
|
large-scale image-text datasets
|
|
gptkbp:usedFor
|
text-to-image generation
image synthesis
|
|
gptkbp:bfsParent
|
gptkb:Imagen
|
|
gptkbp:bfsLayer
|
6
|