[ICCV2019] Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation
作者： Md Mahfuzur Rahman Siddiquee， asu 雖然作者列表裏有Yoshua Bengio大佬，但就頂會文章而言，這篇文章網絡創新點很少，基於Stargan的代碼改了幾行，然後「裝飾」成了一個新的網絡。但是應用部分利用gan做基於image annotation的anomaly detection和病竈定位對我的啓發還比較多。 Intro 如下圖所示，文章認爲StarG
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- 1. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation（CVPR18）
- 2. Triangle Generative Adversarial Networks
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相關文章
- 1. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation（CVPR18）
- 2. Triangle Generative Adversarial Networks
- 3. Graphical Generative Adversarial Networks
- 4. Contrastive Generative Adversarial Networks
- 5. Generative Adversarial Nets[CycleGAN]
- 6. [解讀] ClusterGAN : Latent Space Clustering in Generative Adversarial Networks
- 7. DCGAN：Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- 8. StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
- 9. UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS
- 10. [解讀] Coupled Generative Adversarial Networks