GANimation ：Anatomically-aware Facial Animation from a Single Image
这个文章获得了2018ECCV best paper 提名，感觉在表情GAN里面很666~ Abstract 摘要里大概提到了几点： 1.StarGAN生成的表情状态有限，本文通过结合Action Units（AU）的条件GAN解决问题 2.通过控制AU的激活程度来控制表情 3.无监督学习，类似CycleGAN的网络结构 4.使用Attention机制来缓解背景和光照的影响 Intro
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- 2. GANimation: Anatomically-aware Facial Animation from a Single Image（ECCV18）
- 3. GANimation ：Anatomically-aware Facial Animation from a Single Image
- 4. 论文阅读：GANimation: Anatomically-aware Facial Animation from a Single Image
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相关文章
- 1. GANimation: Anatomically-aware Facial Animation from a Single Image
- 2. GANimation: Anatomically-aware Facial Animation from a Single Image（ECCV18）
- 3. GANimation ：Anatomically-aware Facial Animation from a Single Image
- 4. 论文阅读：GANimation: Anatomically-aware Facial Animation from a Single Image
- 5. 人脸表情系列：代码阅读——GANimation: Anatomically-aware Facial Animation from a Single Image
- 6. 3D Face Reconstruction from a Single Image
- 7. SinGAN：Learning a Generative Model from a Single Natural Image
- 8. Real-time Facial Animation with Image-based Dynamic Avatars
- 9. Face Video Generation from a Single Image and Landmarks
- 10. 8/20 （ICCV2009）Super resolution from a single image