AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks, ICML2020
通過NAS對GAN網絡進行模型壓縮的一篇文章，作者用圖像翻譯的CycleGAN和超分的ESRGAN來示例，這倆一個是17年一個是18年的模型。 原文章相關資料如下： Paper：https://arxiv.org/abs/2006.08198 Github：https://github.com/TAMU-VITA/AGD
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相關文章
- 1. 論文閱讀分享（一）AutoGAN-Distiller:Searching to Compress Generative Adversarial Networks
- 2. Generative adversarial networks to segment skin lesions
- 3. Graphical Generative Adversarial Networks
- 4. Triangle Generative Adversarial Networks
- 5. Contrastive Generative Adversarial Networks
- 6. Generative Adversarial Networks overview（1）
- 7. Generative Adversarial Networks overview（4）
- 8. Self-Attention Generative Adversarial Networks
- 9. Generative Adversarial Networks overview（2）
- 10. An intuitive introduction to Generative Adversarial Networks (GANs)