5 papers
Giving Faces Their Feelings Back: Explicit Emotion Control for Feedforward Single-Image 3D Head Avatars
Yicheng Gong, Jiawei Zhang, Liqiang Liu +6
We present a framework for explicit emotion control in feed-forward, single-image 3D head avatar reconstruction. Unlike existing pipelines where emotion is implicitly entangled wit…
UNICA: A Unified Neural Framework for Controllable 3D Avatars
Jiahe Zhu, Xinyao Wang, Yiyu Zhuang +4
Controllable 3D human avatars have found widespread applications in 3D games, the metaverse, and AR/VR scenarios. The conventional approach to creating such a 3D avatar requires a…
DeX-Portrait: Disentangled and Expressive Portrait Animation via Explicit and Latent Motion Representations
Yuxiang Shi, Zhe Li, Yanwen Wang +3
Portrait animation from a single source image and a driving video is a long-standing problem. Recent approaches tend to adopt diffusion-based image/video generation models for real…
Sketch2PoseNet: Efficient and Generalized Sketch to 3D Human Pose Prediction
Li Wang, Yiyu Zhuang, Yanwen Wang +4
3D human pose estimation from sketches has broad applications in computer animation and film production. Unlike traditional human pose estimation, this task presents unique challen…
Towards Native Generative Model for 3D Head Avatar
Yiyu Zhuang, Yuxiao He, Jiawei Zhang +6
Creating 3D head avatars is a significant yet challenging task for many applicated scenarios. Previous studies have set out to learn 3D human head generative models using massive 2…