gopala-kr / generative-modelsLinks
research and implementations of Generative Models(GANs, VAEs and Autoregressive models) and their applications
☆26Updated 5 years ago
Alternatives and similar repositories for generative-models
Users that are interested in generative-models are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of BicycleGAN with implementation details☆102Updated 7 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆73Updated 7 years ago
- Re-implement CycleGAN in Tensorlayer☆89Updated 7 years ago
- Variational Autoencoder trained by Feature Perceputal Loss☆81Updated 6 years ago
- Pytorch implementation of multitask CycleGAN with auxiliary classification loss☆97Updated 6 years ago
- GANs with multiple Discriminators☆78Updated 3 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 7 years ago
- DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images☆63Updated 7 years ago
- Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017☆195Updated 6 years ago
- Deep generative networks, coded with Keras.☆124Updated 8 years ago
- Progressive training of GANs with Mutual Information Penalty☆186Updated 7 years ago
- A variant of the Self Attention GAN named: FAGAN (Full Attention GAN)☆114Updated 7 years ago
- A Tensorflow implementation of BicycleGAN.☆101Updated 7 years ago
- Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch☆93Updated 2 years ago
- An implementation of VAEGAN (variational autoencoder + generative adversarial network).☆93Updated 8 years ago
- in progress☆118Updated 6 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆81Updated 8 years ago
- Simple Tensorflow implementation of Triple Generative Adversarial Nets (NIPS 2017)☆68Updated 8 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆151Updated 5 years ago
- Least Squares GANs in Tensorflow☆17Updated 8 years ago
- A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017☆142Updated 8 years ago
- dcgan combined with vae in pytorch!☆117Updated 7 years ago
- Tensorflow implementation of paper "unsupervised image to image translation networks"☆69Updated 8 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆78Updated 8 years ago
- ProGAN with Standard, WGAN, WGAN-GP, LSGAN, BEGAN, DRAGAN, Conditional GAN, InfoGAN, and Auxiliary Classifier GAN training methods☆52Updated last year
- A implement of PGGAN for tensorflow version(progressive growing GANs for improved quality, stability and variation)☆14Updated 8 years ago
- Variational auto-encoder trained on celebA . All rights reserved.☆185Updated 8 years ago
- Implementation of BIG-GAN (Large Scale GAN Training for High Fidelity Natural Image Synthesis)☆14Updated 7 years ago
- GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data