CsiGANAn implementation for our paper: CsiGAN: Robust Channel State Information-based Activity Recognition with GANs (IEEE Internet of Things Journal, 2019), which is the semi-supervised Generative Adversarial Network (GAN) for Channel State Information (CSI) -based activity recognition.
Stars: ✭ 23 (-94.04%)
Tf 3dganTensorflow implementation of 3D Generative Adversarial Network.
Stars: ✭ 263 (-31.87%)
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 (-13.99%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-92.23%)
seqgan-musicImplementation of a paper "Polyphonic Music Generation with Sequence Generative Adversarial Networks" in TensorFlow
Stars: ✭ 21 (-94.56%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-6.74%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-93.78%)
VQGAN-CLIP-DockerZero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized
Stars: ✭ 58 (-84.97%)
AdverseBiNetImproving Document Binarization via Adversarial Noise-Texture Augmentation
Stars: ✭ 34 (-91.19%)
Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
Stars: ✭ 22 (-94.3%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-4.92%)
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (-93.78%)
gan tensorflowAutomatic feature engineering using Generative Adversarial Networks using TensorFlow.
Stars: ✭ 48 (-87.56%)
PsganPyTorch code for "PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer" (CVPR 2020 Oral)
Stars: ✭ 318 (-17.62%)
RecycleGANThe simplest implementation toward the idea of Re-cycle GAN
Stars: ✭ 68 (-82.38%)
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
Stars: ✭ 161 (-58.29%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-91.45%)
vaeganAn implementation of VAEGAN (variational autoencoder + generative adversarial network).
Stars: ✭ 88 (-77.2%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-87.56%)
Cat GeneratorGenerate cat images with neural networks
Stars: ✭ 354 (-8.29%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (-18.91%)
generative deep learningGenerative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)
Stars: ✭ 24 (-93.78%)
pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (-87.31%)
tganThe implementation of Temporal Generative Adversarial Nets with Singular Value Clipping
Stars: ✭ 70 (-81.87%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (-87.82%)
BicycleGAN-pytorchPytorch implementation of BicycleGAN with implementation details
Stars: ✭ 99 (-74.35%)
tfjs-ganSimple GAN example using tensorflow JS core
Stars: ✭ 56 (-85.49%)
Stylegan pytorchThe implementation of StyleGAN on PyTorch 1.0.1
Stars: ✭ 381 (-1.3%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-5.18%)
CtganConditional GAN for generating synthetic tabular data.
Stars: ✭ 297 (-23.06%)
subjectiveqe-esrganPyTorch implementation of ESRGAN (ECCVW 2018) for compressed image subjective quality enhancement.
Stars: ✭ 12 (-96.89%)
BicycleGANTensorflow implementation of the NIPS paper "Toward Multimodal Image-to-Image Translation"
Stars: ✭ 30 (-92.23%)
ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (-90.67%)
DCGANsImplementation of some basic GAN architectures in Keras
Stars: ✭ 45 (-88.34%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (-25.13%)
keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-94.82%)
CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Stars: ✭ 43 (-88.86%)
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (-84.46%)
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Stars: ✭ 24 (-93.78%)
LSGANChainer implementation of Least Squares GAN (LSGAN)
Stars: ✭ 54 (-86.01%)
GanfitProject Page of 'GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction' [CVPR2019]
Stars: ✭ 350 (-9.33%)
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 (-24.87%)
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-87.05%)