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In pics丨雨后初霁秋意浓

10月29日清晨,靖州苗族侗族自治县飞山寨景区,山峦之间云雾涌动,在朝阳的映射下,构成了独具特色的绚丽秋景。辜兴平 摄

In the morning of October 29, the Feishanzhai scenic spot of Jingzhou Miao and Dong Autonomous County, the clouds, mountains and the sunlight constitute a unique and beautiful autumn landscape. Photo by Gu Xingping

In Pics丨五彩缤纷度“五一”

5月1日,游客在长沙方特东方神画乐园休闲游玩。“五一”假期,该园举办“华裳盛典”汉服主题秀等系列活动,为游客带来丰富多彩的古风“穿越”之旅。湖南日报·新湖南客户端记者 徐行 通讯员 周鹏伟 摄影报道

The photo, taken on May 1st, showed that people visiting the Fangte Oriental theme park in Changsha. During the Labour Holiday, the park held a series of activities such as Hanfu show, which brought tourists a unique and wonderful journey. Photo by Xuxing, Hunan Daily.

选修第三册 Unit1 Wish You were Here 知识点精讲(1)

知识点01

Apart from its geographical diversity,Canada’s many rural areas and urban centers reflect the diversity of its residents.

Zhangjiajie 72 Unusual Houses Scenic Spot Attracts Numerous Visitors

On October 15, tourists had fun at the Zhangjiajie 72 Unusual Houses Scenic Spot. The scenic spot showcased national-level intangible cultural heritage items such as Miao silver jewelry forging technique, Tujia stilted buildings construction technique, Tujia brocade weaving, Sangzhi folk song, and Zhangjiajie Yang opera. The scenic area is characterized by distinctive features and a rich variety of business types. It has received more than 2 million visits made by tourists from all over the world since its official opening in April last year. (Photo/Xu Xing, Hunan Daily)

Tourists Visit Dongjiang Lake Scenic Spot in Hunan

Visitors experience drifting at the Dongjiang Lake scenic spot in Zixing City, central China's Hunan Province, July 27, 2023. (Xinhua/Zhao Zhongzhi)

This aerial photo taken on July 26, 2023 shows people visiting the Dongjiang Lake scenic spot in Zixing City, central China's Hunan Province. (Xinhua/Zhao Zhongzhi)

强化终端安全管控 确保网络信息安全

国网定西供电公司本着“技术是手段,管理是基础”的原则制定相应的网络安全管理和考核制度,以提升网络管理能力,确保办公网络安全运行。

免费网络工具GFP-GAN利用AI技术瞬间修复旧照片

稿源:cnBeta

如果你家里还有几箱老照片,那么通常的情况是--这些早于基于智能手机摄像头的时代的照片可能已经开始褪色并屈服于时间的正常磨损。而像GFP-GAN这样基于人工智能(AI)的免费照片修复工具就能消除掉物理照片中的数字老化和残缺并使它们像新的一样。

上交开源业界首个两阶段物体阴影生成网络,自建数据集DESOBA

机器之心专栏

机器之心编辑部

生成对抗网络GAN && 人脸图像生成练习

介绍

在2016年的一个研讨会上,杨立昆称生成式对抗网络为“

使用Pytorch实现频谱归一化生成对抗网络(SN-GAN)

自从扩散模型发布以来,GAN的关注度和论文是越来越少了,但是它们里面的一些思路还是值得我们了解和学习。所以本文我们来使用Pytorch 来实现SN-GAN

谱归一化生成对抗网络是一种生成对抗网络,它使用谱归一化技术来稳定鉴别器的训练。谱归一化是一种权值归一化技术,它约束了鉴别器中每一层的谱范数。这有助于防止鉴别器变得过于强大,从而导致不稳定和糟糕的结果。

SN-GAN由Miyato等人(2018)在论文“生成对抗网络的谱归一化”中提出,作者证明了sn - gan在各种图像生成任务上比其他gan具有更好的性能。

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