Denoising Diffusion Models on Model-Based Latent Space.
Carmelo ScribanoDanilo PezziGiorgia FranchiniMarco PratoPublished in: Algorithms (2023)
Keyphrases
- denoising
- diffusion models
- latent space
- diffusion model
- latent variables
- information diffusion
- low dimensional
- image denoising
- image processing
- gaussian process
- generative model
- matrix factorization
- noisy images
- natural images
- manifold learning
- feature space
- gaussian processes
- dimensionality reduction
- parameter space
- lower dimensional
- social networks
- high dimensional
- transfer learning
- distance metric
- gaussian mixture
- probabilistic latent semantic analysis
- greedy algorithm
- random variables
- high dimensional data
- diffusion process
- influence maximization
- gaussian process latent variable models
- probabilistic model
- social media
- pairwise
- feature extraction
- machine learning