深度学习【48】Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks
该论文用GAN给卡通画上色，其基本框架是pix2pix，主要贡献是在pix2pix的基础上加入了feature loss和色彩平滑loss。 由于该论文是基于pix2pix的，所以其使用的G网络和D网络都与pix2pix一样： 左边是G网络，使用的是U-net。右边是D网络使用的是patchGAN中的D网络，其输出是一个30*30的矩阵。 我们主要看看损失函数。 首先是原始的pix2pix的两个损
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相关文章
- 1. 深度学习【38】Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
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