Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance.
Chen Henry WuFernando De la TorrePublished in: CoRR (2022)
Keyphrases
- diffusion models
- latent space
- diffusion model
- latent variables
- information diffusion
- low dimensional
- gaussian process
- lower dimensional
- social networks
- generative model
- parameter space
- dimensionality reduction
- matrix factorization
- feature space
- gaussian processes
- high dimensional
- transfer learning
- influence maximization
- manifold learning
- distance metric
- viral marketing
- probabilistic latent semantic analysis
- high dimensional data
- gaussian mixture
- gaussian process latent variable models
- anisotropic diffusion
- high dimensional spaces
- em algorithm
- probabilistic model
- prior knowledge
- image processing
- motion analysis
- bayesian framework
- information retrieval