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gptkbp:instanceOf
|
Generative Model
|
|
gptkbp:application
|
gptkb:Speech_Synthesis
Data Augmentation
Super-Resolution
Inpainting
Molecular Generation
|
|
gptkbp:basedOn
|
gptkb:Markov_Process
|
|
gptkbp:category
|
gptkb:Machine_Learning
gptkb:artificial_intelligence
gptkb:Unsupervised_Learning
Deep Learning
Generative Modeling
Probabilistic Models
|
|
gptkbp:citation
|
https://arxiv.org/abs/1503.03585
https://arxiv.org/abs/2006.11239
https://arxiv.org/abs/2105.05233
https://arxiv.org/abs/2204.06125
|
|
gptkbp:developedBy
|
gptkb:Google
gptkb:OpenAI
gptkb:Stability_AI
|
|
gptkbp:hasConcept
|
Denoising Score Matching
Forward Diffusion Process
Noise Scheduling
Reverse Diffusion Process
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Diffusion Models
|
|
gptkbp:introducedIn
|
2015
|
|
gptkbp:notableContributor
|
gptkb:Prafulla_Dhariwal
gptkb:Jonathan_Ho
gptkb:Tim_Salimans
gptkb:Robin_Rombach
gptkb:Yang_Song
|
|
gptkbp:notableFor
|
gptkb:Latent_Diffusion_Models
gptkb:Midjourney
gptkb:Stable_Diffusion
gptkb:DALL-E_2
gptkb:Imagen
|
|
gptkbp:openSource
|
gptkb:Stable_Diffusion
gptkb:Hugging_Face_Diffusers
gptkb:OpenAI_Guided_Diffusion
|
|
gptkbp:popularizedBy
|
gptkb:Denoising_Diffusion_Probabilistic_Models
Ho et al. 2020
|
|
gptkbp:relatedTo
|
gptkb:Variational_Autoencoders
gptkb:Generative_Adversarial_Networks
gptkb:Score-Based_Generative_Models
|
|
gptkbp:trainer
|
Maximum Likelihood Estimation
Denoising
|
|
gptkbp:usedIn
|
Image Generation
Audio Generation
Text-to-Image Synthesis
Video Generation
|
|
gptkbp:bfsParent
|
gptkb:Generative_Models
gptkb:Conference_on_Neural_Information_Processing_Systems_2023
gptkb:Jonathan_Ho
|
|
gptkbp:bfsLayer
|
7
|