16 citations · 54 across the 6 of their papers we have counts for
12 papers
AvatarGen: A 3D Generative Model for Animatable Human Avatars
Jianfeng Zhang, Zihang Jiang, Dingdong Yang +6
Unsupervised generation of 3D-aware clothed humans with various appearances and controllable geometries is important for creating virtual human avatars and other AR/VR applications…
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…
Lifting 2D StyleGAN for 3D-Aware Face Generation
Yichun Shi, Divyansh Aggarwal, Anil K. Jain
We propose a framework, called LiftedGAN, that disentangles and lifts a pre-trained StyleGAN2 for 3D-aware face generation. Our model is "3D-aware" in the sense that it is able to…
Boosting Unconstrained Face Recognition with Auxiliary Unlabeled Data
Yichun Shi, Anil K. Jain
In recent years, significant progress has been made in face recognition, which can be partially attributed to the availability of large-scale labeled face datasets. However, since…
Towards Universal Representation Learning for Deep Face Recognition
Yichun Shi, Xiang Yu, Kihyuk Sohn +2
Recognizing wild faces is extremely hard as they appear with all kinds of variations. Traditional methods either train with specifically annotated variation data from target domain…
Recurrent Embedding Aggregation Network for Video Face Recognition
Sixue Gong, Yichun Shi, Anil K. Jain
Recurrent networks have been successful in analyzing temporal data and have been widely used for video analysis. However, for video face recognition, where the base CNNs trained on…