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…
Bringing Your Portrait to 3D Presence
Jiawei Zhang, Lei Chu, Jiahao Li +6
We present a unified framework for reconstructing animatable 3D human avatars from a single portrait across head, half-body, and full-body inputs. Our method tackles three bottlene…
TeRA: Rethinking Text-guided Realistic 3D Avatar Generation
Yanwen Wang, Yiyu Zhuang, Jiawei Zhang +5
In this paper, we rethink text-to-avatar generative models by proposing TeRA, a more efficient and effective framework than the previous SDS-based models and general large 3D gener…
FATE: Full-head Gaussian Avatar with Textural Editing from Monocular Video
Jiawei Zhang, Zijian Wu, Zhiyang Liang +5
Reconstructing high-fidelity, animatable 3D head avatars from effortlessly captured monocular videos is a pivotal yet formidable challenge. Although significant progress has been m…
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…