2 citations · 5 across the 6 of their papers we have counts for
6 papers
GETAvatar: Generative Textured Meshes for Animatable Human Avatars
Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko +4
We study the problem of 3D-aware full-body human generation, aiming at creating animatable human avatars with high-quality textures and geometries. Generally, two challenges remain…
OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
Hongyi Xu, Guoxian Song, Zihang Jiang +6
We present OmniAvatar, a novel geometry-guided 3D head synthesis model trained from in-the-wild unstructured images that is capable of synthesizing diverse identity-preserved 3D he…
AgileGAN3D: Few-Shot 3D Portrait Stylization by Augmented Transfer Learning
Guoxian Song, Hongyi Xu, Jing Liu +7
While substantial progresses have been made in automated 2D portrait stylization, admirable 3D portrait stylization from a single user photo remains to be an unresolved challenge.…
PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360
Sizhe An, Hongyi Xu, Yichun Shi +3
Synthesis and reconstruction of 3D human head has gained increasing interests in computer vision and computer graphics recently. Existing state-of-the-art 3D generative adversarial…
AvatarGen: a 3D Generative Model for Animatable Human Avatars
Jianfeng Zhang, Zihang Jiang, Dingdong Yang +6
Unsupervised generation of clothed virtual humans with various appearance and animatable poses is important for creating 3D human avatars and other AR/VR applications. Existing met…
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
Shice Liu, Shitao Lu, Hongyi Xu +3
Although existing face anti-spoofing (FAS) methods achieve high accuracy in intra-domain experiments, their effects drop severely in cross-domain scenarios because of poor generali…