GANimation ：Anatomically-aware Facial Animation from a Single Image
這個文章得到了2018ECCV best paper 提名，感受在表情GAN裏面很666~ Abstract 摘要裏大概提到了幾點： 1.StarGAN生成的表情狀態有限，本文經過結合Action Units（AU）的條件GAN解決問題spring 2.經過控制AU的激活程度來控制表情網絡 3.無監督學習，相似CycleGAN的網絡結構學習 4.使用Attention機制來緩解背景和光照的
相關文章
- 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. 論文閱讀：GANimation: Anatomically-aware Facial Animation from a Single Image
- 5. 人臉表情系列：代碼閱讀——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
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相關文章
- 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. 論文閱讀：GANimation: Anatomically-aware Facial Animation from a Single Image
- 5. 人臉表情系列：代碼閱讀——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