Image-to-Image Translation with Conditional Adversarial Networks
CVPR2017的一篇文章 Motivation 尝试用Conditional Adversarial Networks来做image-to-image translation，让网络自己学习图片到图片的map函数，而不需要人工定制特征。 Introduction 作者从不同种类的语言翻译类比，提出了Image translation的概念，并希望在给定足够的训练数据以后，训练后的网络能像
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相关文章
- 1. (Pixel2PixelGANs)Image-to-Image translation with conditional adversarial networks
- 2. Image-to-Image Translation with Conditional Adversarial Networks
- 3. Image-to-Image Translation with Conditional Adversarial Networks笔记
- 4. Image-to-Image Translation with Conditional Adversarial NetWorks 翻译
- 5. 【翻译】Image-to-Image Translation with Conditional Adversarial Networks
- 6. pix2pix（2017）：Image-to-Image Translation with Conditional Adversarial Networks
- 7. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 8. Image-to-Image Translation with Conditional Adversarial Networks_201611
- 9. 《Image-to-Image Translation with Conditional Adversarial Networks》论文总结
- 10. 《Image-to-Image Translation with Conditional Adversarial Networks》论文笔记