pix2pix（2017）：Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks 简述： 图像处理、图形学和视觉学中的许多问题涉及到将输入图像转换成相应的输出图像。这些问题通常用特定于应用程序的算法来处理，即使设置总是相同的:将像素映射到像素（pix to pix）。本文利用GAN网络，不仅学习了输入图像到输出图像的映射，而且还学习了训练这种映射的损
相关文章
- 1. Image-to-Image Translation with Conditional Adversarial Networks
- 2. 【翻译】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论文阅读分享(pix2pix)
- 5. pix2pix Image-to-Image Translation with Conditional Adversarial Networks笔记及代码实现
- 6. Image-to-Image Translation with Conditional Adversarial NetWorks 翻译
- 7. (Pixel2PixelGANs)Image-to-Image translation with conditional adversarial networks
- 8. 《Image-to-Image Translation with Conditional Adversarial Networks》论文总结
- 9. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 10. 全文翻译&杂记《Image-to-Image Translation with Conditional Adversarial NetWorks》
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相关文章
- 1. Image-to-Image Translation with Conditional Adversarial Networks
- 2. 【翻译】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论文阅读分享(pix2pix)
- 5. pix2pix Image-to-Image Translation with Conditional Adversarial Networks笔记及代码实现
- 6. Image-to-Image Translation with Conditional Adversarial NetWorks 翻译
- 7. (Pixel2PixelGANs)Image-to-Image translation with conditional adversarial networks
- 8. 《Image-to-Image Translation with Conditional Adversarial Networks》论文总结
- 9. FACE AGING WITH CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
- 10. 全文翻译&杂记《Image-to-Image Translation with Conditional Adversarial NetWorks》