no code implementations • 2 Jan 2024 • Yifang Men, Biwen Lei, Yuan YAO, Miaomiao Cui, Zhouhui Lian, Xuansong Xie
We present En3D, an enhanced generative scheme for sculpting high-quality 3D human avatars.
3 code implementations • 6 Jul 2022 • Yifang Men, Yuan YAO, Miaomiao Cui, Zhouhui Lian, Xuansong Xie
This paper introduces DCT-Net, a novel image translation architecture for few-shot portrait stylization.
no code implementations • CVPR 2022 • Yifang Men, Yuan YAO, Miaomiao Cui, Zhouhui Lian, Xuansong Xie, Xian-Sheng Hua
Experimental results demonstrate the superiority of the proposed method over the state of the art and validate its effectiveness in the brand-new task of general cartoon image synthesis.
2 code implementations • CVPR 2020 • Yifang Men, Yiming Mao, Yuning Jiang, Wei-Ying Ma, Zhouhui Lian
This paper introduces the Attribute-Decomposed GAN, a novel generative model for controllable person image synthesis, which can produce realistic person images with desired human attributes (e. g., pose, head, upper clothes and pants) provided in various source inputs.
Ranked #6 on Pose Transfer on Deep-Fashion
no code implementations • CVPR 2019 • Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
In this paper, we present a novel approach for dynamic text effects transfer by using example-based texture synthesis.
no code implementations • CVPR 2018 • Yifang Men, Zhouhui Lian, Yingmin Tang, Jianguo Xiao
In this paper, we present a general-purpose solution to interactive texture transfer problems that better preserves both local structure and visual richness.