mingukkang / CVAE
Tensorflow Code for Conditional Variational AutoEncoder
☆21Updated 2 years ago
Alternatives and similar repositories for CVAE:
Users that are interested in CVAE are comparing it to the libraries listed below
- Wasserstein GAN TensorFlow Implementation☆44Updated 5 years ago
- Pytorch Adversarial Auto Encoder (AAE)☆86Updated 6 years ago
- Source code for "Explicitly disentangling image content from translation and rotation with spatial-VAE" - NeurIPS 2019☆65Updated 5 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆149Updated 5 years ago
- Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.☆117Updated 6 years ago
- Pytorch implementations of generative models: VQVAE2, AIR, DRAW, InfoGAN, DCGAN, SSVAE☆91Updated 4 years ago
- Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuo…☆89Updated 5 years ago
- Conditional Autoencoders with Adversarial Information Factorization☆72Updated 6 years ago
- [CVPR'21] SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data, in PyTorch☆74Updated 2 years ago
- Code accompanying the paper "Geometric GAN"☆57Updated 7 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Pytorch Implementation of variational auto-encoder for MNIST☆61Updated 6 years ago
- Convolutional variational autoencoder in PyTorch☆46Updated 6 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 6 years ago
- Denoising Diffusion Implicit Models☆28Updated 4 years ago
- Pytorch Implementation of "Neural Discrete Representation Learning"☆86Updated 7 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Ladder Variational Autoencoders (LVAE) in PyTorch☆91Updated 4 years ago
- Conditional Wasserstein GANs☆73Updated 7 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 6 years ago
- Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch☆42Updated 4 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆84Updated 2 years ago
- Code for paper "Adversarial score matching and improved sampling for image generation"☆123Updated last year
- Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.☆73Updated 6 years ago
- A PyTorch Implementation of Density Estimation Using Real NVP☆69Updated 4 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆40Updated 6 years ago
- Pytorch implementations of the PixelCNN (va Oord et al. 2016) and PixelVAE (Gulrajani et al. 2016) models☆32Updated 5 years ago
- [ICLR 2021] Group Equivariant Generative Adversarial Networks.☆13Updated 3 years ago
- Anonymized code for ICLR 2019 submission "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆20Updated 6 years ago
- Source code for the paper MGAN: Training Generative Adversarial Nets With Multiple Generators☆39Updated 6 years ago