Search Results for author:
Found 3 papers, 1 papers with code
Probabilistic Speech-Driven 3D Facial Motion Synthesis: New Benchmarks, Methods, and Applications
While these models can achieve high-quality lip articulation for speakers in the training set, they are unable to capture the full and diverse distribution of 3D facial motions that accompany speech in the real world.
Multi-Domain Translation by Learning Uncoupled Autoencoders
Multi-domain translation seeks to learn a probabilistic coupling between marginal distributions that reflects the correspondence between different domains.
Scalable Unbalanced Optimal Transport using Generative Adversarial Networks
Generative adversarial networks (GANs) are an expressive class of neural generative models with tremendous success in modeling high-dimensional continuous measures.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
