Spiking Denoising Diffusion Probabilistic Models.
Jiahang CaoZiqing WangHanzhong GuoHao ChengQiang ZhangRenjing XuPublished in: CoRR (2023)
Keyphrases
- denoising
- probabilistic model
- nonlinear diffusion
- diffusion processes
- image denoising
- graphical models
- noisy images
- total variation
- anisotropic diffusion
- feed forward
- bio inspired
- denoising algorithm
- wavelet domain
- generative model
- diffusion process
- latent variables
- bayesian inference
- partial differential equations
- language model
- image processing
- natural images
- gaussian noise
- expectation maximization
- spiking neural networks
- neuron model
- noise removal
- wavelet packet
- bayesian networks
- denoising methods
- basal ganglia
- conditional random fields
- probabilistic modeling
- spiking neurons
- multiscale
- information diffusion
- diffusion equation
- recurrent neural networks
- biologically plausible
- spike trains
- hebbian learning
- wavelet denoising
- scale space
- edge detection
- multiresolution
- beltrami flow