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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DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
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CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
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Von[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
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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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Matlab GanMATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN
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Ganotebookswgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
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Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
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Pix2pixImage-to-image translation with conditional adversarial nets
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traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
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IganInteractive Image Generation via Generative Adversarial Networks
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BicycleganToward Multimodal Image-to-Image Translation
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Pix2depthDEPRECATED: Depth Map Estimation from Monocular Images
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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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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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PaddleganPaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, wav2lip, picture repair, image editing, photo2cartoon, image style transfer, and so on.
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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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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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Gan Compression[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
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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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gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
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Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
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Awesome GansAwesome Generative Adversarial Networks with tensorflow
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Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
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Srgan TensorflowTensorflow implementation of the SRGAN algorithm for single image super-resolution
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Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
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Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
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Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
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Everybody-dance-nowImplementation of paper everybody dance now for Deep learning course project
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Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
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Chainer Gan LibChainer implementation of recent GAN variants
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Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
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Co Mod Gan[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
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Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
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Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
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TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
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NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
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Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
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Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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3d Recgan🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)
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Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
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P2palaPage to PAGE Layout Analysis Tool
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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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MmeditingOpenMMLab Image and Video Editing Toolbox
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Dcgan wgan wgan Gp lsgan sngan rsgan began acgan pggan tensorflowImplementation of some different variants of GANs by tensorflow, Train the GAN in Google Cloud Colab, DCGAN, WGAN, WGAN-GP, LSGAN, SNGAN, RSGAN, RaSGAN, BEGAN, ACGAN, PGGAN, pix2pix, BigGAN
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
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CycleGAN-gluon-mxnetthis repo attemps to reproduce Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks(CycleGAN) use gluon reimplementation
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Edge ConnectEdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
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FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
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