UBCDingXin / improved_CcGANLinks
Continuous Conditional Generative Adversarial Networks (CcGAN)
☆130Updated last year
Alternatives and similar repositories for improved_CcGAN
Users that are interested in improved_CcGAN are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of WGAN-GP☆23Updated 6 years ago
- Improved training of Wasserstein GANs☆47Updated 3 years ago
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆275Updated 4 years ago
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆777Updated last year
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆132Updated 11 months ago
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- Pytorch implementation of common image generation metrics.☆183Updated last year
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆38Updated 5 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆102Updated last year
- Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)☆395Updated 3 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆120Updated 6 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- PyTorch Implementation of InfoGAN☆325Updated 2 years ago
- Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.☆194Updated 4 months ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆70Updated 7 years ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆36Updated 2 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆521Updated 7 years ago
- pytorch implementation of GAN and Conditional GAN☆17Updated 6 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
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆199Updated 2 years ago
- this is the pytorch version of Conditional Generative Adversarial Nets☆57Updated 6 years ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆175Updated 3 years ago
- A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.☆173Updated 3 years ago
- CGAN ProjectionCGAN ACGAN InfoGAN Pytorch☆68Updated 6 years ago
- Variational Autoencoders trained on the SVHN and FashionMNIST data-sets implemented in PyTorch☆32Updated last year
- Inception Score for GANs in Pytorch☆657Updated 5 years ago
- A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch☆300Updated 5 years ago