Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
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Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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Mutual labels: generative-adversarial-network, gan, image-generation
Focal Frequency LossFocal Frequency Loss for Generative Models
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Mutual labels: generative-adversarial-network, gan, image-generation
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
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Mutual labels: generative-adversarial-network, gan, generative-adversarial-networks
Semantic Pyramid for Image GenerationPyTorch reimplementation of the paper: "Semantic Pyramid for Image Generation" [CVPR 2020].
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Mutual labels: generative-adversarial-network, gan, image-generation
UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
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Mutual labels: generative-adversarial-network, gan, image-generation
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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Mutual labels: generative-adversarial-network, gan, mnist
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
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Mutual labels: generative-adversarial-network, gan, mnist
Arbitrary Text To Image PapersA collection of arbitrary text to image papers with code (constantly updating)
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Mutual labels: generative-adversarial-network, gan, image-generation
Pytorch Cyclegan And Pix2pixImage-to-Image Translation in PyTorch
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Mutual labels: generative-adversarial-network, gan, image-generation
ADL2019Applied Deep Learning (2019 Spring) @ NTU
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Mutual labels: generative-adversarial-network, gan, image-generation
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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Mutual labels: generative-adversarial-network, gan, image-generation
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
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Mutual labels: generative-adversarial-network, gan, image-generation
Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (+838.46%)
Mutual labels: generative-adversarial-network, gan, mnist
Deep-Exemplar-based-Video-ColorizationThe source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".
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Mutual labels: generative-adversarial-network, gan, image-generation
Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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Mutual labels: generative-adversarial-network, gan, mnist
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
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Mutual labels: generative-adversarial-network, gan, image-generation
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
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Mutual labels: generative-adversarial-network, gan, image-generation
gan-vae-pretrained-pytorchPretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Stars: ✭ 134 (+930.77%)
Mutual labels: generative-adversarial-network, mnist, generative-adversarial-networks