4 papers
RAGMesh with FaME-G2E: Long-Form Text-Driven 3D Face Generation and Editing
Hao Li, Ju Dai, Feng Zhou +6
Text-driven 3D face generation and editing remains challenging due to the difficulty of translating long-form descriptions into fine-grained facial geometry. Existing methods prima…
VIMCAN: Visual-Inertial 3D Human Pose Estimation with Hybrid Mamba-Cross-Attention Network
Zepeng Yang, Junxuan Bai, Hao Li +4
The rapid advances in deep learning have significantly enhanced the accuracy of multimodal 3D human pose estimation (HPE). However, the state-of-the-art (SOTA) HPE pipelines still…
AU-Blendshape for Fine-grained Stylized 3D Facial Expression Manipulation
Hao Li, Ju Dai, Feng Zhou +3
While 3D facial animation has made impressive progress, challenges still exist in realizing fine-grained stylized 3D facial expression manipulation due to the lack of appropriate d…
Wav2Sem: Plug-and-Play Audio Semantic Decoupling for 3D Speech-Driven Facial Animation
Hao Li, Ju Dai, Xin Zhao +3
In 3D speech-driven facial animation generation, existing methods commonly employ pre-trained self-supervised audio models as encoders. However, due to the prevalence of phonetical…