CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
GAN-Anime-CharactersApplied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
csganTask-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
tiny-pix2pixRedesigning the Pix2Pix model for small datasets with fewer parameters and different PatchGAN architecture
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-…
ArtGANTensorflow codes for our ICIP-17 and arXiv-1708.09533 works: "ArtGAN: Artwork Synthesis with Conditional Categorial GAN" & "Learning a Generative Adversarial Network for High Resolution Artwork Synthesis "
multitask-CycleGANPytorch implementation of multitask CycleGAN with auxiliary classification loss
CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
CharacterGANCharacterGAN: Few-Shot Keypoint Character Animation and Reposing (Best Paper WACV 2022)
pytorch-dannA PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Long-Tail-GANAdversarial learning framework to enhance long-tail recommendation in Neural Collaborative Filtering
keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
videoDCGANImplementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
WGAN-GP-tensorflowTensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
gan-error-avoidanceLearning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)
AGD[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
adversarial-networksMaterial de la charla "The bad guys in AI - atacando sistemas de machine learning"
SSVEP-Neural-Generative-ModelsCode to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification
DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
GraphCNN-GANGraph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds via Graph Convolution
gzsl-odOut-of-Distribution Detection for Generalized Zero-Shot Action Recognition
SDGymBenchmarking synthetic data generation methods.
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"
simpleganTensorflow-based framework to ease training of generative models
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
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.
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
ST-CGANDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
TF2-GAN🐳 GAN implemented as Tensorflow 2.X