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
