Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+4010%)
Anime InpaintingAn application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复,去马赛克,填补,去瑕疵
Stars: ✭ 761 (+3705%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (+65%)
Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Stars: ✭ 949 (+4645%)
GandlfGenerative Adversarial Networks in Keras
Stars: ✭ 46 (+130%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (+3640%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (+95%)
HyperganComposable GAN framework with api and user interface
Stars: ✭ 1,104 (+5420%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (+335%)
Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
Stars: ✭ 202 (+910%)
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Stars: ✭ 203 (+915%)
Context Encoder[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs
Stars: ✭ 731 (+3555%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (+395%)
GpndGenerative Probabilistic Novelty Detection with Adversarial Autoencoders
Stars: ✭ 112 (+460%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (+20%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (+500%)
Gan SandboxVanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.
Stars: ✭ 210 (+950%)
RanksrganICCV 2019 (oral) RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution. PyTorch implementation
Stars: ✭ 213 (+965%)
TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (+40%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (+50%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (+8400%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (+580%)
GanimationGANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Stars: ✭ 1,730 (+8550%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (+3425%)
The Gan WorldEverything about Generative Adversarial Networks
Stars: ✭ 243 (+1115%)
MmeditingOpenMMLab Image and Video Editing Toolbox
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
Stars: ✭ 163 (+715%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (+685%)
FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
Stars: ✭ 176 (+780%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (+845%)
ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
Stars: ✭ 151 (+655%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (+910%)
Paddle-RLBooksPaddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.
Stars: ✭ 113 (+465%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (+910%)
FreezedFreeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)
Stars: ✭ 195 (+875%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (+65%)
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 (+950%)
Anogan TfUnofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)
Stars: ✭ 218 (+990%)
Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
Stars: ✭ 150 (+650%)
AdganThe Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN"
Stars: ✭ 239 (+1095%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (+1100%)
GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
Stars: ✭ 233 (+1065%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+8015%)
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+925%)
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (+110%)
BERT-embeddingA simple wrapper class for extracting features(embedding) and comparing them using BERT in TensorFlow
Stars: ✭ 24 (+20%)
ExplorerExplorer is a PyTorch reinforcement learning framework for exploring new ideas.
Stars: ✭ 54 (+170%)
CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Stars: ✭ 43 (+115%)
ganbert-pytorchEnhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
Stars: ✭ 60 (+200%)
LMMSLanguage Modelling Makes Sense - WSD (and more) with Contextual Embeddings
Stars: ✭ 79 (+295%)
Adversarial video generationA TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.
Stars: ✭ 662 (+3210%)