activity
20222024
most citedPAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

4 citations · 10 across the 7 of their papers we have counts for

collaborators

5 papers

cs.CV20231 cited

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…

cs.CV20234 cited

PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters

Shuhong Chen, Kevin Zhang, Yichun Shi +7

We propose PAniC-3D, a system to reconstruct stylized 3D character heads directly from illustrated (p)ortraits of (ani)me (c)haracters. Our anime-style domain poses unique challeng…

cs.CV20231 cited

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.…

cs.CV2023

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…

cs.CV20222 cited

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…