Denoising Diffusion Probabilistic Models (DDPM)
GPTKB entity
Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
generative model |
| gptkbp:application |
image generation
audio generation |
| gptkbp:basisFor |
gptkb:Stable_Diffusion
gptkb:DALL-E_2 gptkb:Imagen |
| gptkbp:category |
gptkb:model
deep learning |
| gptkbp:citation |
high
|
| gptkbp:describedInPaper |
gptkb:Denoising_Diffusion_Probabilistic_Models
|
| gptkbp:generation |
high-quality images
|
| https://www.w3.org/2000/01/rdf-schema#label |
Denoising Diffusion Probabilistic Models (DDPM)
|
| gptkbp:improves |
GANs (in some tasks)
|
| gptkbp:inspiredBy |
nonequilibrium thermodynamics
|
| gptkbp:introduced |
gptkb:Pieter_Abbeel
gptkb:Jonathan_Ho gptkb:Ajay_Jain |
| gptkbp:introducedIn |
2020
|
| gptkbp:openSource |
gptkb:TensorFlow
gptkb:PyTorch |
| gptkbp:publishedIn |
gptkb:NeurIPS_2020
|
| gptkbp:relatedTo |
score-based generative models
diffusion models |
| gptkbp:trainer |
variational inference
|
| gptkbp:uses |
Gaussian noise
Markov chain |
| gptkbp:bfsParent |
gptkb:Diffusers
|
| gptkbp:bfsLayer |
6
|