2024
Denoising Diffusion Probabilistic Models for Action-Conditioned 3D Motion Generation
ICASSP 2024accepted
Diffusion-based generative models have proven to be highly effective in various domains of synthesis. In this work, we propose a conditional paradigm utilizing the denoising diffusion probabilistic model (DDPM) to address the challenge of realistic and diverse action-conditioned 3D skeleton-based mo…