Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
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csganTask-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
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DefenseganDefense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)
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3d conditional ganThe codes of VAE-GAN model for 3d shape reconstruction from depth data
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adversarial-recommender-systems-surveyThe goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…
Stars: ✭ 110 (-56.52%)
Dagan The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
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CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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Tf SndcganTensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
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pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
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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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Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
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Residual image learning ganTensorflow implementation for Paper "Learning Residual Images for Face Attribute Manipulation"
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Audio2Guitarist-GANTwo-stage GANs that generate fingerstyle guitarist images from audio.
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Opt MmdLearning kernels to maximize the power of MMD tests
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keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
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videoDCGANImplementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
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Mnist inception scoreTraining a MNIST classifier, and use it to compute inception score (ICP)
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gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
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ArtganArtGAN: This work presents a series of new approaches to improve Generative Adversarial Network (GAN) for conditional image synthesis and we name the proposed model as “ArtGAN”. Implementations are in Caffe/Tensorflow.
Stars: ✭ 210 (-17%)
AGD[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
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CadganICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
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Pytorch StudioganStudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Stars: ✭ 2,325 (+818.97%)
Easter-Bootcamp-2018Designed to take you from zero experience to GANs within a week.
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MuseganAn AI for Music Generation
Stars: ✭ 794 (+213.83%)
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
Stars: ✭ 44 (-82.61%)
FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Stars: ✭ 176 (-30.43%)
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
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Pytorch Pretrained Biggan🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
Stars: ✭ 779 (+207.91%)
BPPNet-Back-Projected-Pyramid-NetworkThis is the official GitHub repository for ECCV 2020 Workshop paper "Single image dehazing for a variety of haze scenarios using back projected pyramid network"
Stars: ✭ 35 (-86.17%)
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
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DiscoGAN-TFTensorflow Implementation of DiscoGAN
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Anime InpaintingAn application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
Stars: ✭ 761 (+200.79%)
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
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Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
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DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+53.75%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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Sketch2Color-anime-translationGiven a simple anime line-art sketch the model outputs a decent colored anime image using Conditional-Generative Adversarial Networks (C-GANs) concept.
Stars: ✭ 90 (-64.43%)
Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
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ST-CGANDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
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Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
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path planning GANPath Planning using Generative Adversarial Network (GAN)
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TganGenerative adversarial training for generating synthetic tabular data.
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VideoganGenerating Videos with Scene Dynamics. NIPS 2016.
Stars: ✭ 682 (+169.57%)
Awesome TensorlayerA curated list of dedicated resources and applications
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Generative Inpainting PytorchA PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
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SganStacked Generative Adversarial Networks
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Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
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DvbprPersonalized Fashion Recommendation and Generation
Stars: ✭ 150 (-40.71%)
AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (-68.38%)
subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
Stars: ✭ 12 (-95.26%)