Learning Residual Images for Face Attribute Manipulation
Wei Shen， Rujie Liu Fujitsu Research & Development Center, Beijing, China. @CVPR2017 Introduction 作者提出想要对人脸的一些属性进行操控，结合生成模型来完成. 当前主流的生成模型包括GAN以及VAE，但由于GAN模型是接收随机噪声来生成图片，因此无法对图片进行编码.而VAE的编码-解码结构也会对图像的重
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相关文章
- 1. SaGAN:Generative Adversarial Network with Spatial Attention for Face Attribute Editing
- 2. Learning to Detect Fake Face Images in the Wild
- 3. ResNet--Deep Residual Learning for Image Recognition
- 4. [ResNet]Deep Residual Learning for Image Recognition
- 5. Deep Residual Learning for Image Recognition
- 6. ResNet —— Deep Residual Learning for Image Recognition
- 7. Deep Residual Learning for Image Recognition （zh）
- 8. CREST: Convolutional Residual Learning for Visual Tracking
- 9. ResNet(deep residual learning for image recognition)
- 10. ResNet——Deep Residual Learning for Image Recognition