69 citations · 165 across the 16 of their papers we have counts for
4 papers · 1 filter
AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels
Yuelang Xu, Lizhen Wang, Xiaochen Zhao +2
With NeRF widely used for facial reenactment, recent methods can recover photo-realistic 3D head avatar from just a monocular video. Unfortunately, the training process of the NeRF…
Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
Jingxiang Sun, Xuan Wang, Lizhen Wang +4
3D-aware generative adversarial networks (GANs) synthesize high-fidelity and multi-view-consistent facial images using only collections of single-view 2D imagery. Towards fine-grai…
IDE-3D: Interactive Disentangled Editing for High-Resolution 3D-aware Portrait Synthesis
Jingxiang Sun, Xuan Wang, Yichun Shi +3
Existing 3D-aware facial generation methods face a dilemma in quality versus editability: they either generate editable results in low resolution or high-quality ones with no editi…
FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset
Lizhen Wang, Zhiyuan Chen, Tao Yu +3
We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan m…