Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+127.96%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+184.34%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-90.46%)
Pix2pixhdSynthesizing and manipulating 2048x1024 images with conditional GANs
Stars: ✭ 5,553 (+44.42%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (-80.99%)
Awesome GansAwesome Generative Adversarial Networks with tensorflow
Stars: ✭ 585 (-84.79%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-97.71%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-98.7%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-99.45%)
Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-80.55%)
Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (-96.33%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-97.48%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-98.18%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (-55.79%)
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 (-96.41%)
St CganDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 13 (-99.66%)
Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Stars: ✭ 949 (-75.32%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-96.18%)
DeblurganImage Deblurring using Generative Adversarial Networks
Stars: ✭ 2,033 (-47.13%)
Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (-94.33%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
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UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
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Pytorch Mnist Celeba Gan DcganPytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
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Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (-78.62%)
Faceswap GanA denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
Stars: ✭ 3,099 (-19.4%)
StarnetStarNet
Stars: ✭ 141 (-96.33%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-96.51%)
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (-92.8%)
pytorch-gansPyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN
Stars: ✭ 21 (-99.45%)
DcganThe Simplest DCGAN Implementation
Stars: ✭ 286 (-92.56%)
GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
Stars: ✭ 43 (-98.88%)
tiny-pix2pixRedesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
Stars: ✭ 21 (-99.45%)
BicycleGANTensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 30 (-99.22%)
Gan PlaygroundGAN Playground - Experiment with Generative Adversarial Nets in your browser. An introduction to GANs.
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PerceptualGANPytorch implementation of Image Manipulation with Perceptual Discriminators paper
Stars: ✭ 119 (-96.91%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-99.14%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-90.64%)
keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
Stars: ✭ 60 (-98.44%)
pix2pix-tensorflowA minimal tensorflow implementation of pix2pix (Image-to-Image Translation with Conditional Adversarial Nets - https://phillipi.github.io/pix2pix/).
Stars: ✭ 22 (-99.43%)
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (-99.38%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-99.38%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (-99.35%)
Seq2seq Chatbot For KerasThis repository contains a new generative model of chatbot based on seq2seq modeling.
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PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-91.73%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-99.53%)
PycadlPython package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"
Stars: ✭ 356 (-90.74%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-91.86%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-99.22%)
Gp GanOfficial Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending (ACMMM 2019, oral)
Stars: ✭ 317 (-91.76%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-99.38%)
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 23 (-99.4%)