Pytorch modelsPyTorch study
Stars: ✭ 14 (-75.44%)
Mutual labels: generative-adversarial-network
TF2-GAN🐳 GAN implemented as Tensorflow 2.X
Stars: ✭ 61 (+7.02%)
Mutual labels: generative-adversarial-network
gan deeplearning4jAutomatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
Stars: ✭ 19 (-66.67%)
Mutual labels: generative-adversarial-network
bmuseganCode for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”
Stars: ✭ 58 (+1.75%)
Mutual labels: generative-adversarial-network
progressive growing of GANsPure tensorflow implementation of progressive growing of GANs
Stars: ✭ 31 (-45.61%)
Mutual labels: generative-adversarial-network
hyperstyleOfficial Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
Stars: ✭ 874 (+1433.33%)
Mutual labels: generative-adversarial-network
timegan-pytorchThis repository is a non-official implementation of TimeGAN (Yoon et al., NIPS2019) using PyTorch.
Stars: ✭ 46 (-19.3%)
Mutual labels: generative-adversarial-network
DCGAN-PytorchA Pytorch implementation of "Deep Convolutional Generative Adversarial Networks"
Stars: ✭ 23 (-59.65%)
Mutual labels: generative-adversarial-network
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 (+57.89%)
Mutual labels: generative-adversarial-network
CIPS-3D3D-aware GANs based on NeRF (arXiv).
Stars: ✭ 562 (+885.96%)
Mutual labels: generative-adversarial-network
PESROfficial code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks
Stars: ✭ 28 (-50.88%)
Mutual labels: generative-adversarial-network
ST-CGANDataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"
Stars: ✭ 64 (+12.28%)
Mutual labels: generative-adversarial-network
Deep-FakesNo description or website provided.
Stars: ✭ 88 (+54.39%)
Mutual labels: generative-adversarial-network
DeepSIMOfficial PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)
Stars: ✭ 389 (+582.46%)
Mutual labels: generative-adversarial-network
MAD-GAN-MLCAMPRepository for MAD-GAN Paper done in ML CAMP Jeju
Stars: ✭ 17 (-70.18%)
Mutual labels: generative-adversarial-network
path planning GANPath Planning using Generative Adversarial Network (GAN)
Stars: ✭ 36 (-36.84%)
Mutual labels: generative-adversarial-network
pytorch-GANMy pytorch implementation for GAN
Stars: ✭ 12 (-78.95%)
Mutual labels: generative-adversarial-network
ganbertEnhancing the BERT training with Semi-supervised Generative Adversarial Networks
Stars: ✭ 205 (+259.65%)
Mutual labels: generative-adversarial-network
coursera-gan-specializationProgramming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
Stars: ✭ 277 (+385.96%)
Mutual labels: generative-adversarial-network