WGAN-GP-TensorFlowTensorFlow implementations of Wasserstein GAN with Gradient Penalty (WGAN-GP), Least Squares GAN (LSGAN), GANs with the hinge loss.
Stars: ✭ 42 (-83.27%)
Data Efficient Gans[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
Stars: ✭ 682 (+171.71%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (-4.38%)
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 "
Stars: ✭ 16 (-93.63%)
Data Augmentation ReviewList of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.
Stars: ✭ 785 (+212.75%)
Few Shot Patch Based TrainingThe official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training
Stars: ✭ 313 (+24.7%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (+45.82%)
MmeditingOpenMMLab Image and Video Editing Toolbox
Stars: ✭ 2,618 (+943.03%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+4255.78%)
Conditional GanTensorflow implementation for Conditional Convolutional Adversarial Networks.
Stars: ✭ 202 (-19.52%)
Dcgan TensorflowA Tensorflow implementation of Deep Convolutional Generative Adversarial Networks trained on Fashion-MNIST, CIFAR-10, etc.
Stars: ✭ 70 (-72.11%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-50.6%)
CoCosNet-v2CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation
Stars: ✭ 312 (+24.3%)
UnetganOfficial Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Stars: ✭ 139 (-44.62%)
VQGAN-CLIP-DockerZero-Shot Text-to-Image Generation VQGAN+CLIP Dockerized
Stars: ✭ 58 (-76.89%)
Pytorch CycleganA clean and readable Pytorch implementation of CycleGAN
Stars: ✭ 558 (+122.31%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (+104.38%)
CWRCode and dataset for Single Underwater Image Restoration by Contrastive Learning, IGARSS 2021, oral.
Stars: ✭ 43 (-82.87%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-61.35%)
Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (-43.82%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-45.82%)
ru-dalleGenerate images from texts. In Russian
Stars: ✭ 1,606 (+539.84%)
universum-contractstext-to-image generation gems / libraries incl. moonbirds, cyberpunks, coolcats, shiba inu doge, nouns & more
Stars: ✭ 17 (-93.23%)
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.
Stars: ✭ 90 (-64.14%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (+387.65%)
clip-guided-diffusionA CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.
Stars: ✭ 260 (+3.59%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+3392.03%)
Anime2SketchA sketch extractor for anime/illustration.
Stars: ✭ 1,623 (+546.61%)
Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (+46.22%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-92.03%)
text-to-imageText to Image Synthesis using Generative Adversarial Networks
Stars: ✭ 72 (-71.31%)
TriangleGANTriangleGAN, ACM MM 2019.
Stars: ✭ 28 (-88.84%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (+227.49%)
SuperStyleNetSuperStyleNet: Deep Image Synthesis with Superpixel Based Style Encoder (BMVC 2021)
Stars: ✭ 28 (-88.84%)
keras-text-to-imageTranslate text to image in Keras using GAN and Word2Vec as well as recurrent neural networks
Stars: ✭ 60 (-76.1%)
im2txt2imI2T2I: Text-to-Image Synthesis with textual data augmentation
Stars: ✭ 29 (-88.45%)
tganThe implementation of Temporal Generative Adversarial Nets with Singular Value Clipping
Stars: ✭ 70 (-72.11%)
survey kitFlutter library to create beautiful surveys (aligned with ResearchKit on iOS)
Stars: ✭ 68 (-72.91%)
OASISOfficial implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Stars: ✭ 232 (-7.57%)
esrganEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
Stars: ✭ 48 (-80.88%)
CS231nPyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Stars: ✭ 47 (-81.27%)
KoDALLE🇰🇷 Text to Image in Korean
Stars: ✭ 55 (-78.09%)
ganA 1D toy example of optimizing a generative model using the WGAN-GP model.
Stars: ✭ 21 (-91.63%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-86.85%)
pytorch-ardaA PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
Stars: ✭ 49 (-80.48%)
BicycleGAN-pytorchPytorch implementation of BicycleGAN with implementation details
Stars: ✭ 99 (-60.56%)
py-msa-kdenlivePython script to load a Kdenlive (OSS NLE video editor) project file, and conform the edit on video or numpy arrays.
Stars: ✭ 25 (-90.04%)
TimeSeries2DBarChartImageCNNConversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
Stars: ✭ 25 (-90.04%)
csganTask-Aware Compressed Sensing Using Generative Adversarial Networks (published in AAAI18)
Stars: ✭ 25 (-90.04%)