【文件属性】：
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
【文件预览】：
1907.05577Boosting Scene Character Recognition by Learning Canonical.pdf
1706.08033.pdf
1905.01164_SinGan.pdf
1611.07004v1Image-to-Image Translation with Conditional Adversarial Networks.pdf