ls-gan

There are 3 repositories under ls-gan topic.

  • maple-research-lab/glsgan-gp

    Generalized Loss-Sensitive Generative Adversarial Networks (GLS-GAN) in PyTorch with gradient penalty, including both LS-GAN and WGAN as special cases.

    Language:Python30315

  • anhtuan85/GAN_series

    PyTorch implementations of Generative Adversarial Network series

    Language:Jupyter Notebook7205

  • srinadhu/CS231n_assignment3

    Implemented Vanilla RNN and LSTM networks, combined these with pretrained VGG-16 on ImageNet to build image captioning models on Microsoft COCO dataset. Explored use of image gradients for generating new images and techniques used are Saliency Maps, Fooling Images and Class Visualization. Implemented image Style Transfer technique from 'Image Style Transfer Using Convolutional Neural Networks'. Implemented and trained GAN, LS-GAN and DC-GAN on MNIST dataset to produce images that resemble samples from MNIST, DC-GAN gave best resembling images.

    Language:Jupyter Notebook4001