文件名称：对抗学习-图像生成Gan.zip
文件大小：22.55MB
文件格式：ZIP
更新时间：2023-06-15 12:53:00
对抗学习 图像生成
几篇gan论文。We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss func- tion to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. We demon- strate that this approach is effective at synthesizing photos from label maps, reconstructing objects from edge maps, and colorizing images, among other tasks. As a commu- nity, we no longer hand-engineer our mapping functions, and this work suggests we can achieve reasonable results without hand-engineering our loss functions either
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