4 papers
ExpPortrait: Expressive Portrait Generation via Personalized Representation
Junyi Wang, Yudong Guo, Boyang Guo +2
While diffusion models have shown great potential in portrait generation, generating expressive, coherent, and controllable cinematic portrait videos remains a significant challeng…
Controlling Avatar Diffusion with Learnable Gaussian Embedding
Xuan Gao, Jingtao Zhou, Dongyu Liu +2
Recent advances in diffusion models have made significant progress in digital human generation. However, most existing models still struggle to maintain 3D consistency, temporal co…
One Shot, One Talk: Whole-body Talking Avatar from a Single Image
Jun Xiang, Yudong Guo, Leipeng Hu +3
Building realistic and animatable avatars still requires minutes of multi-view or monocular self-rotating videos, and most methods lack precise control over gestures and expression…
Portrait Video Editing Empowered by Multimodal Generative Priors
Xuan Gao, Haiyao Xiao, Chenglai Zhong +3
We introduce PortraitGen, a powerful portrait video editing method that achieves consistent and expressive stylization with multimodal prompts. Traditional portrait video editing m…