IsketchnfillSoftware that can autocomplete sketches as the user starts drawing.
Stars: ✭ 151 (-9.04%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (+924.1%)
Pixel2style2pixelOfficial Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"
Stars: ✭ 1,395 (+740.36%)
Unet Stylegan2A Pytorch implementation of Stylegan2 with UNet Discriminator
Stars: ✭ 106 (-36.14%)
Dagan The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
Stars: ✭ 132 (-20.48%)
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Stars: ✭ 105 (-36.75%)
DeliganThis project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
Stars: ✭ 103 (-37.95%)
Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
Stars: ✭ 150 (-9.64%)
GanimationGANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Stars: ✭ 1,730 (+942.17%)
Lsd SegLearning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Stars: ✭ 99 (-40.36%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-40.96%)
Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
Stars: ✭ 161 (-3.01%)
DvbprPersonalized Fashion Recommendation and Generation
Stars: ✭ 150 (-9.64%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-41.57%)
TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (-41.57%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-41.57%)
PorousmediaganReconstruction of three-dimensional porous media using generative adversarial neural networks
Stars: ✭ 94 (-43.37%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+6486.14%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-44.58%)
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Stars: ✭ 2,656 (+1500%)
P2palaPage to PAGE Layout Analysis Tool
Stars: ✭ 147 (-11.45%)
Pytorch StudioganStudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
Stars: ✭ 2,325 (+1300.6%)
SpecganSpecGAN - generate audio with adversarial training
Stars: ✭ 92 (-44.58%)
DmtDisentangled Makeup Transfer with Generative Adversarial Network
Stars: ✭ 90 (-45.78%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-25.3%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-47.59%)
3dpose ganThe authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Stars: ✭ 124 (-25.3%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+637.35%)
Tac GanA Tensorflow implementation of the Text Conditioned Auxiliary Classifier Generative Adversarial Network for Generating Images from text descriptions (https://arxiv.org/abs/1703.06412)
Stars: ✭ 82 (-50.6%)
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Stars: ✭ 123 (-25.9%)
AliceNIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
Stars: ✭ 80 (-51.81%)
GanResources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Stars: ✭ 2,127 (+1181.33%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+1477.11%)
GeneganGeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
Stars: ✭ 142 (-14.46%)
Tensorflow Mnist Cgan CdcganTensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.
Stars: ✭ 122 (-26.51%)
BicycleganToward Multimodal Image-to-Image Translation
Stars: ✭ 1,215 (+631.93%)
GazeanimationGive a portrait face, move the gaze up
Stars: ✭ 77 (-53.61%)
Rectorchrectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Stars: ✭ 121 (-27.11%)
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Stars: ✭ 76 (-54.22%)
Marta GanMARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Stars: ✭ 75 (-54.82%)
MganMasking GAN - Image attribute mask generation
Stars: ✭ 120 (-27.71%)
Pytorch FidCompute FID scores with PyTorch.
Stars: ✭ 1,175 (+607.83%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-27.71%)
Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
Stars: ✭ 157 (-5.42%)