Denoising Diffusion Probabilistic Models for Action-Conditioned 3D Motion Generation.
Mengyi ZhaoMengyuan LiuBin RenShuling DaiNicu SebePublished in: ICASSP (2024)
Keyphrases
- denoising
- probabilistic model
- nonlinear diffusion
- diffusion processes
- image denoising
- total variation
- graphical models
- noisy images
- natural images
- anisotropic diffusion
- conditional random fields
- image processing
- three dimensional
- generative model
- wavelet domain
- optical flow
- noise removal
- motion and structure estimation
- wavelet packet
- expectation maximization
- wavelet denoising
- language model
- gaussian noise
- image sequences
- bayesian networks
- motion estimation
- latent variables
- hidden variables
- bayesian inference
- structure from motion
- diffusion process
- missing data
- hidden markov models
- probabilistic modeling
- motion field
- partial differential equations