TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (-86.14%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+703.47%)
Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (-30.2%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+176.24%)
CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Stars: ✭ 43 (-78.71%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-32.67%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+81.68%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (+18.81%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-51.98%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+505.94%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+153.96%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (+81.19%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (+54.95%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+306.93%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1196.04%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-90.1%)
UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Stars: ✭ 139 (-31.19%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+4239.11%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-65.35%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+5312.38%)
WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (-79.21%)
Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (+237.62%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-38.61%)
FrontalizationPytorch deep learning face frontalization model
Stars: ✭ 160 (-20.79%)
DistanceganPytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017
Stars: ✭ 180 (-10.89%)
Scene generationA PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation
Stars: ✭ 158 (-21.78%)
Gail TfTensorflow implementation of generative adversarial imitation learning
Stars: ✭ 179 (-11.39%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+1214.85%)
Xinggan[ECCV 2020] XingGAN for Person Image Generation
Stars: ✭ 177 (-12.38%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (-22.28%)
Vae Lagging EncoderPyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)
Stars: ✭ 153 (-24.26%)
Keras AcganAuxiliary Classifier Generative Adversarial Networks in Keras
Stars: ✭ 196 (-2.97%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (-6.44%)
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 (-12.87%)
ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
Stars: ✭ 151 (-25.25%)
Text To ImageText to image synthesis using thought vectors
Stars: ✭ 2,052 (+915.84%)
NetganImplementation of the paper "NetGAN: Generating Graphs via Random Walks".
Stars: ✭ 152 (-24.75%)
IsketchnfillSoftware that can autocomplete sketches as the user starts drawing.
Stars: ✭ 151 (-25.25%)
KbganCode for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071
Stars: ✭ 186 (-7.92%)
TganGenerative adversarial training for generating synthetic tabular data.
Stars: ✭ 173 (-14.36%)
Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
Stars: ✭ 150 (-25.74%)
DvbprPersonalized Fashion Recommendation and Generation
Stars: ✭ 150 (-25.74%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-27.23%)
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (-1.49%)
StoryganStoryGAN: A Sequential Conditional GAN for Story Visualization
Stars: ✭ 184 (-8.91%)
PixelcnnTheano reimplementation of pixelCNN architecture
Stars: ✭ 170 (-15.84%)