Goto

Collaborating Authors

 Country



XAGen: 3D Expressive Human Avatars Generation

Neural Information Processing Systems

Recent advances in 3D-aware GAN models have enabled the generation of realistic and controllable human body images. However, existing methods focus on the control of major body joints, neglecting the manipulation of expressive attributes, such as facial expressions, jaw poses, hand poses, and so on.





LearningBeamSearchPoliciesviaImitation Learning

Neural Information Processing Systems

Beam search is widely used for approximate decoding in structured prediction problems. Models often use a beam at test time but ignore its existence at train time, and therefore do not explicitly learn how to use the beam.