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Diffusion model

In machine learning, diffusion models, also known as diffusion-based generative models or score-based generative models, are a class of latent variable generative models. A diffusion model consists of two major components: the forward diffusion process, and the reverse sampling process. The goal of diffusion models is to learn a diffusion process for a…

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Overview

Denoising diffusion model

Score-based generative model

Their equivalence

Main variants

Flow-based diffusion model

Choice of architecture

Examples

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Map overview Semantic statistics

Diffusion model

Nodes92
Edges91
Triples192
Avg. degree1.98
Density0.021739
Components1

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Diffusion model

Top relations

related to Further reading · 90
Diffusion model → ACM Comput, Advani, An Elementary Tutorial, An Introduction, Applications, Applied Mathematicians, Arwen, AstraBlog, Austin, Berg, Bibcode, Bin, Bradley, Calvin, Catherine Higham, Comprehensive Survey, Croitoru, Cui, Daniel, Desmond
related to Diffusion model · 10
Diffusion model → DDPM, DiT, For, For DDPM, It, Mixture, Since, Transformer, U-Net, U-Net-based
related to Conditioning · 9
Diffusion model → ControlNet, For, However, ImageNet, Stable Diffusion, The, To, U-Net, Whatever
related to Flow-based diffusion model · 9
Diffusion model → Abstractly, Both, Gaussian, In, Itô, Probability ODE, SDE, SDEs, The
related to OpenAI · 9
Diffusion model → CLIP, DALL-E, Instead, OpenAI, Released, The, The DALL-E, Transformer, VAE
related to Stability AI · 9
Diffusion model → DiT, It, Stability AI, Stable Diffusion, The, Transformer, U-Net, UNet, VAE
related to Upscaling · 9
Diffusion model → As, Cascading, Diffusion, GAN, Lanczos, Progressive GAN, The, Transformer, Upscaling
related to Google · 8
Diffusion model → Imagen, It, Muse, T5-XXL, The, This, Transformer, U-Nets
related to Classifier-free guidance (CFG) · 7
Diffusion model → CFG, For, If, It, None, Note, Such
related to Samplers · 7
Diffusion model → DDIM, DDPM, Given, In, One, SDE, The

Important terminology Word statistics

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Important terminology

diffusion displaystyle model image models process noise theta sigma distribution sim denoising ln one mathcal images sqrt text beta nabla

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Diffusion modelis ageneral method for modelling probability distributions0.90text
text generationinstance ofdiffusion models have also found applications in natural language processing0.80text
summarizationinstance ofdiffusion models have also found applications in natural language processing0.80text
sound generationinstance ofdiffusion models have also found applications in natural language processing0.80text
and reinforcement learninginstance ofdiffusion models have also found applications in natural language processing0.80text
Diffusion modelrelated to Classifier-free guidance (CFG)If0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)Such0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)None0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)Note0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)CFG0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)It0.60section
Diffusion modelrelated to Classifier-free guidance (CFG)For0.60section

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