Latent Vector Prototypes Guided Conditional Face Synthesis

Author:

Wei Qiyu1,Yang Xulei2,Sang Tong1,Wang Huijiao3,Xiaofeng Zou4,Zhongyao Cheng2,Ziyuan Zhao2,Zeng Zeng2

Affiliation:

1. Shanghai University (SHU),School of Microelectronics,China

2. A*STAR,Institute for Infocomm Research (I2R),Singapore

3. Wuhan University (WHU),School of Electronic Information,China

4. Hunan University (HNU),College of Computer Science and Electronic Engineering,China

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tell Your Story: Text-Driven Face Video Synthesis with High Diversity via Adversarial Learning;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

2. An Efficient Deep Video Model For Deepfake Detection;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

3. Controlling Facial Attribute Synthesis by Disentangling Attribute Feature Axes in Latent Space;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08

4. Toward responsible face datasets: modeling the distribution of a disentangled latent space for sampling face images from demographic groups;2023 IEEE International Joint Conference on Biometrics (IJCB);2023-09-25

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