1 code implementation • 13 Apr 2022 • Haiming Yu, Hao Zhu, Xiangju Lu, Junhui Liu
In this work, we propose MobileFSGAN, a novel lightweight GAN for face swap that can run on mobile devices with much fewer parameters while achieving competitive performance.
1 code implementation • 4 Jan 2022 • Yunze Xiao, Hao Zhu, Haotian Yang, Zhengyu Diao, Xiangju Lu, Xun Cao
By fitting a 3D morphable model from multi-view images, the features of multiple images are extracted and aggregated in the mesh-attached UV space, which makes the implicit function more effective in recovering detailed facial shape.
no code implementations • 24 Oct 2019 • Haiming Yu, Yin Fan, Keyu Chen, He Yan, Xiangju Lu, Junhui Liu, Danming Xie
By this means, the discriminativeness of the face representations can be enhanced.
1 code implementation • 31 Jul 2019 • Yi Zheng, Yifan Zhao, Mengyuan Ren, He Yan, Xiangju Lu, Junhui Liu, Jia Li
Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications.
no code implementations • 9 Apr 2019 • Kui Fu, Peipei Shi, Yafei Song, Shiming Ge, Xiangju Lu, Jia Li
To address these issues, we design an extremely light-weight network with ultrafast speed, named UVA-Net.
no code implementations • 19 Nov 2018 • Yuanliu Liu, Bo Peng, Peipei Shi, He Yan, Yong Zhou, Bing Han, Yi Zheng, Chao Lin, Jianbin Jiang, Yin Fan, Tingwei Gao, Ganwen Wang, Jian Liu, Xiangju Lu, Danming Xie
Multi-modal person identification is a more promising way that we can jointly utilize face, head, body, audio features, and so on.