Diffusion Prior-Based Amortized Variational Inference for Noisy Inverse Problems.
Sojin LeeDogyun ParkInho KongHyunwoo J. KimPublished in: CoRR (2024)
Keyphrases
- inverse problems
- variational inference
- image reconstruction
- bayesian inference
- posterior distribution
- maximum a posteriori
- global optimization
- topic models
- convex optimization
- probabilistic model
- prior information
- variational methods
- gaussian process
- latent dirichlet allocation
- mixture model
- optimization methods
- closed form
- probabilistic graphical models
- optimization problems
- exponential family
- prior knowledge
- early vision
- hyperparameters
- partial differential equations
- smoothness constraint
- bayesian framework
- approximate inference
- probability distribution
- maximum likelihood
- co occurrence
- genetic algorithm