深度學習【48】Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
該論文用GAN給卡通畫上色，其基本框架是pix2pix，主要貢獻是在pix2pix的基礎上加入了feature loss和色彩平滑loss。 由於該論文是基於pix2pix的，所以其使用的G網絡和D網絡都與pix2pix一樣： 左邊是G網絡，使用的是U-net。右邊是D網絡使用的是patchGAN中的D網絡，其輸出是一個30*30的矩陣。 我們主要看看損失函數。 首先是原始的pix2pix的兩個損
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相關文章
- 1. 深度學習【38】Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
- 2. 【翻譯】Image-to-Image Translation with Conditional Adversarial Networks
- 3. (Pixel2PixelGANs)Image-to-Image translation with conditional adversarial networks
- 4. 深度學習【47】Unsupervised Image-to-Image Translation with Generative Adversarial Networks
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- 10. Binary Generative Adversarial Networks for Image Retrieval