StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation（CVPR18）
3. Star Generative Adversarial Networks 3.1. MultiDomain ImagetoImage Translation 學習目標是訓練一個能夠在multiple domains之間相互生成的生成器 G G G 定義 x x x爲輸入圖像， y y y爲生成圖像， c c c爲target domain label，於是有 G ( x , c ) → y
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- 1. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- 2. StarGAN（2018）: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
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- 4. [ICCV2019] Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation
- 5. Binary Generative Adversarial Networks for Image Retrieval
- 6. Generative Adversarial Networks for Hyperspectral Image Classification
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相關文章
- 1. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- 2. StarGAN（2018）: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- 3. CartoonGAN: Generative Adversarial Networks for Photo Cartoonization
- 4. [ICCV2019] Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation
- 5. Binary Generative Adversarial Networks for Image Retrieval
- 6. Generative Adversarial Networks for Hyperspectral Image Classification
- 7. Graphical Generative Adversarial Networks
- 8. Triangle Generative Adversarial Networks
- 9. Contrastive Generative Adversarial Networks
- 10. Generative Adversarial Networks overview（1）