Chainer Gan LibChainer implementation of recent GAN variants
Stars: ✭ 386 (+157.33%)
text2imageNetGenerate image from text with Generative Adversarial Network
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Stylegan WebA web porting for NVlabs' StyleGAN.
Stars: ✭ 112 (-25.33%)
DCGAN-CIFAR10A implementation of DCGAN (Deep Convolutional Generative Adversarial Networks) for CIFAR10 image
Stars: ✭ 18 (-88%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+144.67%)
Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
Stars: ✭ 34 (-77.33%)
Repo 2017Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
Stars: ✭ 1,123 (+648.67%)
Recycle GanUnsupervised Video Retargeting (e.g. face to face, flower to flower, clouds and winds, sunrise and sunset)
Stars: ✭ 367 (+144.67%)
gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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speech-enhancement-WGANspeech enhancement GAN on waveform/log-power-spectrum data using Improved WGAN
Stars: ✭ 35 (-76.67%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (+140%)
FAST-RIRThis is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
Stars: ✭ 90 (-40%)
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Stars: ✭ 59 (-60.67%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+982%)
GanfitProject Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Stars: ✭ 350 (+133.33%)
MultiGraphGANMultiGraphGAN for predicting multiple target graphs from a source graph using geometric deep learning.
Stars: ✭ 16 (-89.33%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-28%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-86%)
deep-blueberryIf you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!
Stars: ✭ 17 (-88.67%)
AnimeganA simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.
Stars: ✭ 1,095 (+630%)
mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
Stars: ✭ 77 (-48.67%)
Deepfashion try onOfficial code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content",CVPR‘20 https://arxiv.org/abs/2003.05863
Stars: ✭ 332 (+121.33%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+7188.67%)
ElegantELEGANT: Exchanging Latent Encodings with GAN for Transferring Multiple Face Attributes
Stars: ✭ 253 (+68.67%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
Stars: ✭ 322 (+114.67%)
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-62%)
Tf SndcganTensorflow Implementation of the paper "Spectral Normalization for Generative Adversarial Networks" (ICML 2017 workshop)
Stars: ✭ 245 (+63.33%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (+108.67%)
AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Stars: ✭ 239 (+59.33%)
Unet Stylegan2A Pytorch implementation of Stylegan2 with UNet Discriminator
Stars: ✭ 106 (-29.33%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (+60%)
CtganConditional GAN for generating synthetic tabular data.
Stars: ✭ 297 (+98%)
Improvedgan PytorchSemi-supervised GAN in "Improved Techniques for Training GANs"
Stars: ✭ 228 (+52%)
Co Mod Gan[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Stars: ✭ 46 (-69.33%)
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+52%)
Pytorch Mnist Celeba Cgan CdcganPytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Networks (cDCGAN) for MNIST dataset
Stars: ✭ 290 (+93.33%)
Transmomo.pytorchThis is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
Stars: ✭ 225 (+50%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-8%)
Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (+45.33%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (+90.67%)
Generative inpaintingDeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Stars: ✭ 2,659 (+1672.67%)
Variant Of Cppn Ganbased on https://github.com/kwj2104/CPPN-WGAN, but on chineses fonts and improved architecture
Stars: ✭ 43 (-71.33%)
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 (+40%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+2018.67%)
Colorizing With GansGrayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Stars: ✭ 209 (+39.33%)
GeneganGeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Stars: ✭ 142 (-5.33%)
Dagan The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Stars: ✭ 132 (-12%)
The Gan ZooA list of all named GANs!
Stars: ✭ 11,454 (+7536%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (+290%)
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
Stars: ✭ 40 (-73.33%)