Pro-DDPM: Progressive Growing of Variable Denoising Diffusion Probabilistic Models for Faster Convergence.
Rohit GandikotaNicholas BrownPublished in: BMVC (2022)
Keyphrases
- faster convergence
- denoising
- probabilistic model
- nonlinear diffusion
- diffusion processes
- image denoising
- convergence speed
- step size
- graphical models
- noisy images
- image processing
- global optimum
- natural images
- generative model
- global optimization
- bayesian networks
- language model
- conditional random fields
- latent variables
- noise removal
- total variation
- pso algorithm
- expectation maximization
- wavelet domain
- gaussian noise
- anisotropic diffusion
- denoising algorithm
- convergence rate
- structure tensor
- cost function
- neural network
- hidden variables
- wavelet packet
- denoising methods
- diffusion model
- beltrami flow