.png){kind=icon}
返回
Fast 2-step regularization on style optimization for real face morphing
.png){kind=icon}
OA
AI
DOI：10.1016/j.neunet.2022.08.007.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
StyleGAN is now capable of achieving excellent results, especially high-quality face synthesis. Recently, some studies have tried to invert real face images into style latent space via StyleGAN. However, morphing real faces via latent representation is still in its infancy. Training costs are high and/or require huge samples with labels. By adding regularization to style optimization, we propose a novel method to morph real faces based on StyleGAN. To do the supervised task, we label latent vectors via synthesized faces and release the label set; then we utilize logistic regression to fast discover interpretable directions in latent space. Appropriate regularization helps us to optimize both latent vectors (faces and directions). Moreover, we use learned directions under different layer representations to handle real face morphing. Compared to the existing methods, our method faster yields a larger diverse and realistic output. Code and cases are available at https://github.com/disanda/RFM. (C) 2022 Elsevier Ltd. All rights reserved.
Keyword:
Real face morphing (RFM)
StyleGAN
GAN inversion
Interpretable direction
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
8.3K
被引数:
3.0W
机构
暂无机构信息
引用论文
Varicella-zoster virus inhibits autophagosome-lysosome fusion and the degradation stage of mTOR-mediated autophagic flux.png)
Virology
VirologyIF0
PREAI
分享收藏
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing FlowsStyleFlow: 使用条件连续归一化流对StyleGAN生成的图像进行属性条件探索OAAI
OAAI分享收藏分享收藏Scattering of electromagnetic plane wave from a chiral cylinder placed in chiral metamaterials放置在手性超材料中的手性圆柱体对电磁平面波的散射
PREAI
分享收藏
查看更多内容