Autoregressive Motion Generation with Gaussian Mixture-Guided Latent Sampling
A novel text-to-motion synthesis method GMMotion is proposed that combines a continuous motion representation with an autoregressive model, us-ing the Gaussian mixture model (GMM) to represent the conditional probability distribution.