metricsIS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.
Stars: ✭ 91 (+59.65%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (-56.14%)
wc-ganWhitening and Coloring transform for GANs
Stars: ✭ 33 (-42.11%)
GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
Stars: ✭ 107 (+87.72%)
gan-image-similarityInfoGAN inspired neural network trained on zap50k images (using Tensorflow + tf-slim). Intermediate layers of the discriminator network are used to do image similarity.
Stars: ✭ 111 (+94.74%)
GAN-Project-2018GAN in Tensorflow to be run via Linux command line
Stars: ✭ 21 (-63.16%)
ezganAn extremely simple generative adversarial network, built with TensorFlow
Stars: ✭ 36 (-36.84%)
automatic-manga-colorizationUse keras.js and cyclegan-keras to colorize manga automatically. All computation in browser. Demo is online:
Stars: ✭ 20 (-64.91%)
CoMoGANCoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.
Stars: ✭ 139 (+143.86%)
SLE-GANTowards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
Stars: ✭ 53 (-7.02%)
AdvSegLossOfficial Pytorch implementation of Adversarial Segmentation Loss for Sketch Colorization [ICIP 2021]
Stars: ✭ 24 (-57.89%)
cgan-face-generatorFace generator from sketches using cGAN (pix2pix) model
Stars: ✭ 52 (-8.77%)
TET-GAN[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization
Stars: ✭ 74 (+29.82%)
SlimGANSlimmable Generative Adversarial Networks (AAAI 2021)
Stars: ✭ 20 (-64.91%)
anime2clothingPytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.
Stars: ✭ 65 (+14.04%)
Child-Face-GenerationDeep Convolutional Conditional GAN and Supervised CNN for generating children's faces given parents' faces
Stars: ✭ 26 (-54.39%)
Pytorch-Image-Translation-GANsPytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.
Stars: ✭ 106 (+85.96%)
catgan pytorchUnsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks
Stars: ✭ 50 (-12.28%)
DeepFlowPytorch implementation of "DeepFlow: History Matching in the Space of Deep Generative Models"
Stars: ✭ 24 (-57.89%)
wgan-gpPytorch implementation of Wasserstein GANs with Gradient Penalty
Stars: ✭ 161 (+182.46%)
MoveSimCodes for paper in KDD 2020 (AI for COVID-19): Learning to Simulate Human Mobility
Stars: ✭ 16 (-71.93%)
CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Stars: ✭ 30 (-47.37%)
IrwGANOfficial pytorch implementation of the IrwGAN for unaligned image-to-image translation
Stars: ✭ 33 (-42.11%)
GAN-auto-writeGenerative Adversarial Network that learns to generate handwritten digits. (Learning Purposes)
Stars: ✭ 18 (-68.42%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (+54.39%)
ADL2019Applied Deep Learning (2019 Spring) @ NTU
Stars: ✭ 20 (-64.91%)
infnet-spenTensorFlow implementation [ICLR 18] "Learning Approximate Inference Networks for Structured Prediction"
Stars: ✭ 30 (-47.37%)
HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (+177.19%)
StyleGANCppUnofficial implementation of StyleGAN's generator
Stars: ✭ 25 (-56.14%)
MUST-GANPytorch implementation of CVPR2021 paper "MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation"
Stars: ✭ 39 (-31.58%)
pytorch ganSpectral Normalization and Projection Discriminator
Stars: ✭ 16 (-71.93%)
srganPytorch implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Stars: ✭ 39 (-31.58%)
ML-Papers-TLDRA summary of interesting Machine Learning (mostly Deep Learning) papers that I encounter.
Stars: ✭ 20 (-64.91%)
CariMe-pytorchUnpaired Caricature Generation with Multiple Exaggerations (TMM 2021)
Stars: ✭ 33 (-42.11%)
lecam-ganRegularizing Generative Adversarial Networks under Limited Data (CVPR 2021)
Stars: ✭ 127 (+122.81%)
videoMultiGANEnd to End learning for Video Generation from Text
Stars: ✭ 53 (-7.02%)
keras-3dganKeras implementation of 3D Generative Adversarial Network.
Stars: ✭ 20 (-64.91%)
SeqGAN-PyTorchImplementation of Sequence Generative Adversarial Nets with Policy Gradient in PyTorch
Stars: ✭ 40 (-29.82%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-57.89%)
GANs-KerasGANs Implementations in Keras
Stars: ✭ 24 (-57.89%)
EigenGAN-TensorflowEigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)
Stars: ✭ 294 (+415.79%)
PerceptualGANPytorch implementation of Image Manipulation with Perceptual Discriminators paper
Stars: ✭ 119 (+108.77%)
unrolled-gansPyTorch Implementation of Unrolled Generative Adversarial Networks
Stars: ✭ 35 (-38.6%)
TextBoxGANGenerate text boxes from input words with a GAN.
Stars: ✭ 50 (-12.28%)
AsymmetricGAN[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Stars: ✭ 42 (-26.32%)
Tensorflow DCGANStudy Friendly Implementation of DCGAN in Tensorflow
Stars: ✭ 22 (-61.4%)
VSGANVapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Stars: ✭ 124 (+117.54%)
steam-stylegan2Train a StyleGAN2 model on Colaboratory to generate Steam banners.
Stars: ✭ 30 (-47.37%)