Traditional methods for visualizing dynamic human expressions, particularly in medical training, often rely on flat-screen displays or static mannequins, which have proven inefficient for realistic simulation. In response, we propose a platform that leverages a 3D interactive facial avatar capable of displaying non-verbal feedback, including pain signals. This avatar is projected onto a stereoscopic, view-dependent 3D display, offering a more immersive and realistic simulated patient experience for pain assessment practice. However, there is no existing solution that dynamically predicts and projects interactive 3D facial avatars in real-time. To overcome this, we emphasize the need for a 3D display projection system that can project the facial avatar holographically, allowing users to interact with the avatar from any viewpoint. By incorporating 3D Gaussian Splatting (3DGS) and real-time view-dependent calibration, we significantly improve the training environment for accurate pain recognition and assessment.
DynamicAvatars: Accurate Dynamic Facial Avatars Reconstruction and Precise Editing with Diffusion Models
School of Software Engineering, Xi’an Jiaotong University(西安交通大学软件学院);National Engineering Research Center for Visual Information and Applications, Xi’an Jiaotong University(西安交通大学视觉信息与应用国家工程研究中心);Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University(西安交通大学人工智能与机器人研究所);National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Xi’an Jiaotong University(人机混合增强智能全国重点实验室)
DEGAS: Detailed Expressions on Full-Body Gaussian Avatars
The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州));Prometheus Vision Technology Co., Ltd.(天视智能科技有限公司);The Hong Kong University of Science and Technology(香港科技大学);Swinburne University of Technology(斯威本科技大学)
AsynFusion: Towards Asynchronous Latent Consistency Models for Decoupled Whole-Body Audio-Driven Avatars
Institute of Artificial Intelligence (TeleAI), China Telecom(人工智能研究院(TeleAI)、中国电信);Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing(未来区块链与隐私计算先进创新中心);School of Artificial Intelligence, Beihang University(北航人工智能学院);Hangzhou International Innovation Institute, Beihang University(杭州国际创新研究院,北航);School of Computer Science and Technology, Xinjiang University(新疆大学计算机科学与技术学院);GigaAI(极佳科技)
SMPLX-Lite: A Realistic and Drivable Avatar Benchmark with Rich Geometry and Texture Annotations
Shenzhen International Graduate School, Tsinghua University(清华大学深圳国际研究生院);Prometheus Vision Technology Co., Ltd.(普罗米修斯视觉科技有限公司);Beijing University of Aeronautics and Astronautics(北京航空航天大学);The Hong Kong University of Science and Technology (Guangzhou)(香港科技大学(广州))