说明：Abstract
The style-based GAN architecture (StyleGAN) yields
state-of-the-art results in data-driven unconditional generative image modeling. We expose and analyze several of its
characteristic artifacts, and propose changes in both model
architec <weixin_44576861> 上传 | 大小：17mb
说明：Abstract
Super resolution (SR) methods typically assume that the low-resolution (LR) image
was downscaled from the unknown high-resolution (HR) image by a fixed ‘ideal’
downscaling kernel (e.g. Bicubic downscaling). However, this is rarely the cas <weixin_44576861> 上传 | 大小：12mb
说明：Abstract
Most image completion methods produce only one result
for each masked input, although there may be many reasonable possibilities. In this paper, we present an approach for pluralistic image completion – the task of generating multiple and <weixin_44576861> 上传 | 大小：2mb
说明：Image Segmentation Using Deep Learning，Shervin Minaee, Yuri Boykov, Fatih Porikli, Antonio Plaza, Nasser Kehtarnavaz, and Demetri Terzopoulos <icanflysjt> 上传 | 大小：5mb
说明：出自陶大程、叶杰平老师等大牛之手的 GAN 详细综述，包括论文 A Review on Generative Adversarial Networks：Algorithms, Theory, and Applications，和对微信公众号分享的综述的整理的md笔记档，适合自学收藏。 <qq_27206435> 上传 | 大小：1mb
