UBCDingXin / improved_CcGANLinks
Continuous Conditional Generative Adversarial Networks (CcGAN)
☆130Updated 2 years ago
Alternatives and similar repositories for improved_CcGAN
Users that are interested in improved_CcGAN are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Wasserstein GANs with Gradient Penalty☆274Updated 4 years ago
- Implementation of "Autoencoding beyond pixels using a learned similarity metric" using Pytorch☆63Updated 5 years ago
- A pytorch implementation of WGAN-GP☆23Updated 6 years ago
- Pytorch implementation of a Conditional WGAN with Gradient Penalty☆39Updated 5 years ago
- This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.☆113Updated last year
- Variational Autoencoder (VAE) with perception loss implementation in pytorch☆134Updated last year
- Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP☆784Updated last year
- Improved training of Wasserstein GANs☆47Updated 4 years ago
- An application of Self-Attention GANs and DCGAN on mnist dataset.☆49Updated 5 years ago
- PyTorch Implementation of InfoGAN☆326Updated 2 years ago
- Pytorch implementation of common image generation metrics.☆189Updated last year
- Implementation of a Conditional Variational Auto-Encoder GAN in pytorch☆43Updated 3 years ago
- PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models☆78Updated last year
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆108Updated last year
- Official implementation of "DiffuseVAE: Efficient, Controllable and High-Fidelity Generation from Low-Dimensional Latents"☆372Updated 2 years ago
- A Variational Autoencoder based on the ResNet18-architecture☆120Updated 6 years ago
- Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"☆36Updated 2 years ago
- Autoencoders in PyTorch☆93Updated 3 years ago
- Easy generative modeling in PyTorch☆440Updated last year
- The Official PyTorch Implementation of "LSGM: Score-based Generative Modeling in Latent Space" (NeurIPS 2021)☆364Updated 3 years ago
- Pytorch implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Generative Adversarial Ne…☆523Updated 7 years ago
- Implementation of Denoising Diffusion Probabilistic Models in PyTorch☆385Updated 3 years ago
- PyTorch implementation of VAEGAN☆28Updated 5 years ago
- Pytorch implementation for VAE and conditional VAE.☆37Updated 4 years ago
- Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.☆74Updated 6 years ago
- PyTorch implementation of Conditional Deep Convolutional Generative Adversarial Networks (cDCGAN)☆70Updated 7 years ago
- Variational AutoEncoder + ResNet Transfer Learning☆230Updated 2 years ago
- The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)☆1,060Updated 2 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- A very simple implementation of cyclegan, which is based on pytorch.☆163Updated 11 months ago