Anycost Gan[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
Stars: ✭ 367 (-88.16%)
Gans In ActionCompanion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Stars: ✭ 748 (-75.86%)
CycleganSoftware that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Stars: ✭ 10,933 (+252.79%)
SdvSynthetic Data Generation for tabular, relational and time series data.
Stars: ✭ 360 (-88.38%)
Generative adversarial networks 101Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.
Stars: ✭ 138 (-95.55%)
StarnetStarNet
Stars: ✭ 141 (-95.45%)
Capsule GanCode for my Master thesis on "Capsule Architecture as a Discriminator in Generative Adversarial Networks".
Stars: ✭ 120 (-96.13%)
CocosnetCross-domain Correspondence Learning for Exemplar-based Image Translation. (CVPR 2020 Oral)
Stars: ✭ 211 (-93.19%)
Gan steerabilityOn the "steerability" of generative adversarial networks
Stars: ✭ 225 (-92.74%)
TaganAn official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018
Stars: ✭ 97 (-96.87%)
DraganA stable algorithm for GAN training
Stars: ✭ 189 (-93.9%)
Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Stars: ✭ 134 (-95.68%)
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
Stars: ✭ 136 (-95.61%)
Selectiongan[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
Stars: ✭ 366 (-88.19%)
Pix2pixImage-to-image translation with conditional adversarial nets
Stars: ✭ 8,765 (+182.83%)
Pacgan[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks
Stars: ✭ 67 (-97.84%)
Lggan[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Stars: ✭ 97 (-96.87%)
Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
Stars: ✭ 141 (-95.45%)
Generative ModelsAnnotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Stars: ✭ 438 (-85.87%)
Fewshot Face Translation GanGenerative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.
Stars: ✭ 705 (-77.25%)
CaloganGenerative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Stars: ✭ 87 (-97.19%)
Sprint ganPrivacy-preserving generative deep neural networks support clinical data sharing
Stars: ✭ 92 (-97.03%)
AvatarGANGenerate Cartoon Images using Generative Adversarial Network
Stars: ✭ 24 (-99.23%)
UEGAN[TIP2020] Pytorch implementation of "Towards Unsupervised Deep Image Enhancement with Generative Adversarial Network"
Stars: ✭ 68 (-97.81%)
GifGIF is a photorealistic generative face model with explicit 3D geometric and photometric control.
Stars: ✭ 233 (-92.48%)
Contrastive Unpaired TranslationContrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
Stars: ✭ 822 (-73.48%)
FineganFineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Stars: ✭ 240 (-92.26%)
Image To Image Papers🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)
Stars: ✭ 949 (-69.38%)
IganInteractive Image Generation via Generative Adversarial Networks
Stars: ✭ 3,845 (+24.07%)
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
Stars: ✭ 97 (-96.87%)
GandissectPytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
Stars: ✭ 1,700 (-45.14%)
DLSSDeep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.
Stars: ✭ 88 (-97.16%)
GanspaceDiscovering Interpretable GAN Controls [NeurIPS 2020]
Stars: ✭ 1,224 (-60.5%)
VSGANVapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Stars: ✭ 124 (-96%)
HistoGANReference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).
Stars: ✭ 158 (-94.9%)
Simgan CaptchaSolve captcha without manually labeling a training set
Stars: ✭ 405 (-86.93%)
HidtOfficial repository for the paper "High-Resolution Daytime Translation Without Domain Labels" (CVPR2020, Oral)
Stars: ✭ 513 (-83.45%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (-93.48%)
Generative models tutorial with demoGenerative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Stars: ✭ 276 (-91.09%)
Keras AcganAuxiliary Classifier Generative Adversarial Networks in Keras
Stars: ✭ 196 (-93.68%)
Csa InpaintingCoherent Semantic Attention for image inpainting(ICCV 2019)
Stars: ✭ 202 (-93.48%)
Neuralnetworks.thought ExperimentsObservations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Stars: ✭ 199 (-93.58%)
SwapnetVirtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!
Stars: ✭ 202 (-93.48%)
Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Stars: ✭ 5,720 (+84.58%)
Gan TutorialSimple Implementation of many GAN models with PyTorch.
Stars: ✭ 227 (-92.68%)
Keraspp코딩셰프의 3분 딥러닝, 케라스맛
Stars: ✭ 178 (-94.26%)