Sources and inspiration https://github.com/caogang/wgan-gp https://github.com/kuc2477/pytorch-wgan-gp Releases No releases published Languages Python100.0%
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP. Contribute to Zeleni9/pytorch-wgan development by creating an account on GitHub.
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pytorch-wgan-gp PyTorch implementation ofImproved Training of Wasserstein GANs, arxiv:1704.00028 Results Generated samples after training 1 epoch on LSUN Bedroom dataset $ git clone https://github.com/kuc2477/pytorch-wgan-gp && cd pytorch-wgan-gp $ pip install -r requirements.txt ...
WGAN-GP——WGAN的升级版,解决了WGAN存在的梯度消失和梯度爆炸问题+pytorch代码实现及代码详解 完整代码可见:github.com/StarLight1212/Generative-models/blob/main/GAN%20%26%20GAN%20Variations/wgan-gp.py 关于argparse介绍可见AlexGoAlex:argparse WGAN在处理Lipschitz限制条件时直接采用了weight clipping,这样会限制...
pytorch 1.8.1 torchvision 0.9.1 To install all the dependencies quickly and easily you should use pip pip install -r requirements.txt Training Running training of DCGAN model on Fashion-MNIST dataset: python main.py --model DCGAN \ --is_train True \ --download True \ --dataroot datasets/...
Pytorch官网有一个关于DCGAN的教程。其中判别器的第一层没有加BN(其生成器的实现也略微有一点差异)。 DCGAN的训练目标与公式(6)一致,不再赘述。 三、WGAN:Wasserstein GAN [3] WGAN考虑的主要问题是:究竟应该如何来定义两个分布的距离? 这里的“距离”并非严格意义上需要满足“非负”、“对称”与“三角不等式...
Pytorch框架实现DCGAN(比较容易理解) 5.数据集下载 链接:https://pan.baidu.com/s/1i_VU3aQpLkCx4Z5fhDVKHA提取码:79y3 6.WGAN-GP代码实现 提示:代码放在了Github上,本文的代码是参考下面这位博主写的,但是自己其中只是做了一下修改,并且其中加了一个mainWindows界面代码,方便后面训练的模型进行图像风格的转换。
# ref: https://github.com/LynnHo/WGAN-GP-DRAGAN-Celeba-Pytorch/blob/master/train_celeba_wgan_gp.py netD = model.Discriminator(3, dim=args.image_size) netG = model.Generator(nz, dim=args.image_size) # load checkpoint if args.netG != '': # load checkpoint if needed ne...
https://github.com/jacobgil/keras-dcgan keras https://github.com/soumith/dcgan.torch torch DCGAN是继GAN之后比较好的改进,其主要的改进主要是在网络结构上,到目前为止,DCGAN的网络结构还是被广泛的使用,DCGAN极大的提升了GAN训练的稳定性以及生成结果质量。