2 code implementations • 5 Aug 2019 • Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu
However, in real-world scenario end-users often only have one target face at hand, rendering existing methods inapplicable.
no code implementations • 21 Feb 2019 • Yunxuan Zhang, Weiliang Zhang, Qinyan Zhang, Jijiang Yang, Xiuyu Chen, Shihua Zhao
Boosted by deep learning and adversarial training algorithm, our model is trainable in an end-to-end manner, can be tested in real-time and achieves the state-of-art results for CMR correction.
1 code implementation • ECCV 2018 • Wayne Wu, Yunxuan Zhang, Cheng Li, Chen Qian, Chen Change Loy
A transformer is subsequently used to adapt the boundary of source face to the boundary of target face.
1 code implementation • 31 Aug 2017 • Yunxuan Zhang, Li Liu, Cheng Li, Chen Change Loy
We introduce a novel approach for annotating large quantity of in-the-wild facial images with high-quality posterior age distribution as labels.
Ranked #7 on
Age Estimation
on MORPH Album2
(using extra training data)