On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models.
Kamil DejaAnna KuzinaTomasz TrzcinskiJakub M. TomczakPublished in: NeurIPS (2022)
Keyphrases
- generative model
- denoising
- probabilistic model
- discriminative models
- mixture model
- image denoising
- discriminative learning
- semi supervised
- total variation
- em algorithm
- prior knowledge
- generative and discriminative models
- discriminative methods
- hidden variables
- conditional random fields
- image processing
- object categories
- natural images
- representational power
- latent dirichlet allocation
- topic models
- maximum entropy principle
- deep belief networks
- hierarchical hidden markov models