Conditional image generation using digit labels (0–9) Modular code (train, test, model, dataloader) CVAE with reparameterization trick PyTorch-based implementation ...

Abstract: 3D human motion prediction is the task of forecasting future motions from past observations. Previous work predicts diverse motions to cover uncertain future possibilities over a longer time ...

In our recent paper, we propose VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech. Several recent end-to-end text-to-speech (TTS) models enabling single ...

Second, a model that is based on a graph conditional variational autoencoder (VAE) is employed to predict future trajectories and head angles based on past information. Third, the safety-critical ...