Ram81 / AC-VAEGAN-PyTorch
Implementation of a Conditional Variational Auto-Encoder GAN in pytorch
☆43Updated 3 years ago
Alternatives and similar repositories for AC-VAEGAN-PyTorch:
Users that are interested in AC-VAEGAN-PyTorch are comparing it to the libraries listed below
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆61Updated 4 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆37Updated 5 years ago
- Pytorch for Triple-GAN☆42Updated 2 years ago
- Pytorch implementation of paper "Autoencoding beyond pixels using a learned similarity metric"☆43Updated 5 years ago
- pytorch implementation of GAN and Conditional GAN☆17Updated 6 years ago
- Generation of 128x128 bird images using VAE-GAN with additional feature matching loss☆89Updated 6 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆119Updated 6 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆110Updated 5 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆67Updated 6 years ago
- PyTorch implementation of VAEGAN☆27Updated 5 years ago
- Data Augmentation optimized for GAN☆56Updated 4 years ago
- An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.☆47Updated 2 years ago
- A pytorch implementation of Maximum Mean Discrepancies(MMD) loss☆203Updated 2 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆229Updated 2 years ago
- Adversarial autoencoder (basic/semi-supervised/supervised)☆28Updated 2 years ago
- Official Pytorch implementation of "DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network" (CVPR'21)☆75Updated 4 years ago
- This is an implementation of the VAE (Variational Autoencoder) for Cifar10☆72Updated 3 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- this is the pytorch version of Conditional Generative Adversarial Nets☆56Updated 6 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 4 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- Improved training of Wasserstein GANs☆46Updated 3 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆192Updated 2 months ago
- [ICML 2022] Conditional GANs with Auxiliary Discriminative Classifier☆27Updated last year
- Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)☆35Updated last year
- Implementation of 'DIVA: Domain Invariant Variational Autoencoders'☆101Updated 5 years ago
- GAN+VAE hybrid experiments☆10Updated 6 years ago
- Wasserstein BiGAN (Bidirectional GAN trained using Wasserstein distance)☆35Updated 5 years ago
- IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.☆124Updated 4 years ago
- VAEGAN from "Autoencoding beyond pixels using a learned similarity metric" implemented in Pytorch. Clean, clear and with comments.☆188Updated 7 years ago