Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
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gan-vae-pretrained-pytorchPretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
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CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
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Pytorch Cyclegan And Pix2pixImage-to-Image Translation in PyTorch
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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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Von[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
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Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
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gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
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IganInteractive Image Generation via Generative Adversarial Networks
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A Pytorch Tutorial To Super ResolutionPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
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Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
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