[ICCV2019] Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation
作者： Md Mahfuzur Rahman Siddiquee， asu 虽然作者列表里有Yoshua Bengio大佬，但就顶会文章而言，这篇文章网络创新点很少，基于Stargan的代码改了几行，然后“装饰”成了一个新的网络。但是应用部分利用gan做基于image annotation的anomaly detection和病灶定位对我的启发还比较多。 Intro 如下图所示，文章认为StarG
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相关文章
- 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. [解读] 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. [解读] Coupled Generative Adversarial Networks