选择构建具有不同表示能力的生成器来管理映射方向上不同的翻译复杂性。 CycleGAN中的生成器是一个编码器-解码器,中间有一个基于残差结构的Transformer网络。当将风格从水墨画转换为真实的照片时,基于密集块(dense block)的生成器可以考虑更多的输入特征信息以增强特征传播,从而在两个方向上提高生成质量。此外,相对较小...
CycleGAN的目标就是学习这种联系,和以往的Image-to-image translation 方法不同的是,CycleGAN不需要配对数据。 为了实现这样的效果,作者设置了两组对抗训练,如下图 使用生成器G_{XY}实现数据集X(photo风格)到数据集Y(Monet画风)的转换,再通过辨别器D_{X}判断两个图片的风格是否一致。 训练的损失为: L_{G_{XY...
Here, we propose a method to generate sCT based on deep learning training with weakly paired CT and MR images acquired from an MRgRT system using a cycle-consistent GAN (CycleGAN) framework that allows the unpaired image-to-image translation in abdomen and thorax. Data from 90 cancer patients...
其中G试图最小化损失 L G A N L_{GAN} LGAN,而D则尝试最大化 L G A N L_{GAN} LGAN.同理另外一个变换函数 F : Y → X F:Y \rightarrow X F:Y→X与分类器 D x D_x Dx与器思路类似。2.2 Cycle Consistency Loss从理论上来说,变换G与F的输出可以分别被分类到领域Y与X。然而...
CycleGAN:Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks——非配对的图像转译,论文发表于2017年的ICCV。CycleGAN可以实现风格迁移功能,通过两个镜像对称的GAN构成一个环形网络。针对无配对数据,在源域和目标域之间不需要建立一对一的映射就可以实现风格迁移。
[Cycle GAN] Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix https://zhuanlan.zhihu.com/p/79221194 https://blog.csdn.net/fangjin_kl/article/details/128117396...
CycleGAN:Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks,程序员大本营,技术文章内容聚合第一站。
Finally, this paper improves glomerulus detection at different stains by using translated image stains from the CycleGAN. Results: To show the effectiveness of the translation and detection methods, in addition to quantitative analysis of the results, the involvement of assessment from four physicians ...
第一阶段消除了较差的对准效果,而第二阶段依靠GAN架构来增强CT图像的对比度。其他方法在配对图像可用的应用中使用了pix2pix框架,如正电子发射断层扫描(PET)到MRI的转换、器官分割、MRI到CT的转换和低剂量CT去噪。最近,研究人员开始将CycleGANs用于各种医学成像任务。例如,Kearney等人使用CycleGAN在MRI和CT数据之间进行...
CycleGAN model makes use of a U-net based generator and PatchGAN based discriminator. A conventional UNet model and a Gaussian filter were compared with the CycleGAN model. Structural Similarity Index (SSIM) and peak signal-to-noise ratio (PSNR) measures were utilized to assess the models’ ...