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GANimation :Anatomically-aware Facial Animation from a Single Image
時間 2020-12-30
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這個文章獲得了2018ECCV best paper 提名,感覺在表情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,本文通過結合Action Units(AU)的條件GAN解決問題 2.通過控制AU的激活程度來控制表情 3.無監督學習,類似CycleGAN的網絡結構 4.使用Attention機制來緩解背景和光照的影響 Intro
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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
>>更多相關文章<<