Alternatives and similar repositories for PairGAN

Users that are interested in PairGAN are comparing it to the libraries listed below

• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆78Updated 5 years ago
• max-liu-112 / SRGANs-Spectral-Regularization-GANs-
  ☆11Updated 5 years ago
• Zhiyuan1991 / proVLAE
  ☆27Updated 5 years ago
• shinseung428 / DRS_Tensorflow
  Tensorflow implementation of Discriminator Rejection Sampling
  ☆24Updated 5 years ago
• adler-j / bwgan
  Code for the paper "Banach Wasserstein GAN"
  ☆31Updated 6 years ago
• tntrung / msgan
  Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".
  ☆37Updated 5 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• wittawatj / cadgan
  ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.
  ☆22Updated 11 months ago
• XuezheMax / macow
  Masked Convolutional Flow
  ☆59Updated 5 years ago
• eitanrich / gans-n-gmms
  Official implementation of "On GANs and GMMs"
  ☆66Updated 5 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 7 years ago
• yedidh / glann
  Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"
  ☆28Updated 5 years ago
• ehoogeboom / emerging
  ☆42Updated 6 years ago
• zj10 / PGA
  A TensorFlow implementation of perceptual generative autoencoder (PGA).
  ☆23Updated 4 years ago
• CIFASIS / exploiting-gan-internal-capacity
  Code for reproducing experiments in "Exploiting GAN Internal Capacity for High-Quality Reconstruction of Natural Images"
  ☆16Updated 5 years ago
• soochan-lee / MR-GAN
  Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)
  ☆93Updated 11 months ago
• odegeasslbc / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• corenel / pytorch-glow
  PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"
  ☆45Updated 6 years ago
• didriknielsen / pixelcnn_flow
  Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"
  ☆19Updated 5 years ago
• joelouismarino / iterative_inference
  Implementation of iterative inference in deep latent variable models
  ☆43Updated 5 years ago
• mbinkowski / MMD-GAN
  Training MMD GANs.
  ☆86Updated 7 years ago
• MichaelArbel / Scaled-MMD-GAN
  Scaled MMD GAN
  ☆36Updated 5 years ago
• yenchenlin / pix2pix-flow
  Image-to-image translation with flow-based generative model
  ☆64Updated 6 years ago
• lin-shuyu / ladder-latent-data-distribution-modelling
  In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…
  ☆41Updated 4 years ago
• snu-mllab / DisentanglementICML19
  "Learning Discrete and Continuous Factors of Data via Alternating Disentanglement" accepted at ICML2019
  ☆21Updated 5 years ago
• maga33 / DSGAN
  Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
  ☆98Updated 3 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• rafaelbidese / LOGAN
  This repository implements the latent optimization using automatic differentiation from the paper LOGAN.
  ☆11Updated 5 years ago