SganStacked Generative Adversarial Networks
Stars: ✭ 240 (+76.47%)
3d Recgan🔥3D-RecGAN in Tensorflow (ICCV Workshops 2017)
Stars: ✭ 116 (-14.71%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (+130.15%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (-44.12%)
simpleganTensorflow-based framework to ease training of generative models
Stars: ✭ 19 (-86.03%)
pytorch-GANMy pytorch implementation for GAN
Stars: ✭ 12 (-91.18%)
Awesome-GAN-Resources🤖A list of resources to help anyone getting started with GANs 🤖
Stars: ✭ 90 (-33.82%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (+164.71%)
SeanSEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
Stars: ✭ 387 (+184.56%)
GdwctOfficial PyTorch implementation of GDWCT (CVPR 2019, oral)
Stars: ✭ 122 (-10.29%)
GansformerGenerative Adversarial Transformers
Stars: ✭ 421 (+209.56%)
BicycleGANTensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 30 (-77.94%)
Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Stars: ✭ 87 (-36.03%)
CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Stars: ✭ 43 (-68.38%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (+2.21%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-75.74%)
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-81.62%)
Von[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Stars: ✭ 497 (+265.44%)
Neural DoodleTurn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Stars: ✭ 9,680 (+7017.65%)
skip-thought-ganGenerating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Stars: ✭ 44 (-67.65%)
gans-collection.torchTorch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
Stars: ✭ 53 (-61.03%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-85.29%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-82.35%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-35.29%)
HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (+16.18%)
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Stars: ✭ 228 (+67.65%)
Text To Image SynthesisPytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
Stars: ✭ 288 (+111.76%)
IcfaceICface: Interpretable and Controllable Face Reenactment Using GANs
Stars: ✭ 122 (-10.29%)
Alae[CVPR2020] Adversarial Latent Autoencoders
Stars: ✭ 3,178 (+2236.76%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (+1150%)
IganInteractive Image Generation via Generative Adversarial Networks
Stars: ✭ 3,845 (+2727.21%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+277.21%)
Net2netNetwork-to-Network Translation with Conditional Invertible Neural Networks
Stars: ✭ 120 (-11.76%)
Pytorch Pix2pixPytorch implementation of pix2pix for various datasets.
Stars: ✭ 74 (-45.59%)
Fast SrganA Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps
Stars: ✭ 417 (+206.62%)
SeqganA simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
Stars: ✭ 502 (+269.12%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+310.29%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-48.53%)
UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-50%)
Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Stars: ✭ 1,395 (+925.74%)
TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
Stars: ✭ 1,156 (+750%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+450%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-50%)
MganMasking GAN - Image attribute mask generation
Stars: ✭ 120 (-11.76%)
Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Stars: ✭ 67 (-50.74%)
CadganICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
Stars: ✭ 19 (-86.03%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (+418.38%)
Delving Deep Into GansGenerative Adversarial Networks (GANs) resources sorted by citations
Stars: ✭ 834 (+513.24%)
Mnist inception scoreTraining a MNIST classifier, and use it to compute inception score (ICP)
Stars: ✭ 25 (-81.62%)
Dna GanDNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Stars: ✭ 65 (-52.21%)
Colorizing With GansGrayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400
Stars: ✭ 209 (+53.68%)
Co Mod Gan[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Stars: ✭ 46 (-66.18%)