Spiking Denoising Diffusion Probabilistic Models.
Jiahang CaoZiqing WangHanzhong GuoHao ChengQiang ZhangRenjing XuPublished in: WACV (2024)
Keyphrases
- denoising
- probabilistic model
- nonlinear diffusion
- diffusion processes
- image denoising
- graphical models
- noisy images
- total variation
- wavelet domain
- bio inspired
- natural images
- image processing
- feed forward
- bayesian networks
- language model
- bayesian inference
- diffusion process
- latent variables
- noise removal
- conditional random fields
- spiking neural networks
- generative model
- denoising algorithm
- neuron model
- spike trains
- translation invariant
- diffusion equation
- anisotropic diffusion
- expectation maximization
- wavelet denoising
- basal ganglia
- denoising methods
- hidden variables
- biologically plausible
- information diffusion
- single neuron
- hebbian learning
- reaction diffusion
- probabilistic modeling
- structure tensor
- filter bank
- neural network
- spiking neurons
- multiscale
- gaussian noise
- wavelet packet
- image enhancement