sunsided / vae-style-transfer
An experiment in VAE-based artistic style transfer by embedding fiddling.
☆36Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for vae-style-transfer
- Disentangled Variational AutoEncoder with PyTorch☆29Updated 5 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 6 years ago
- ☆81Updated 7 years ago
- Deeper DCGAN with AE stabilization☆38Updated 8 months ago
- a replicate of https://arxiv.org/pdf/1711.00937.pdf☆16Updated 7 years ago
- Here I will share the code from the lectures of the course: Generative Image Modelling with Deep Neural Networks taught in the Summer Ter…☆26Updated 7 years ago
- Models generated by CycleGAN☆43Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- Keras Implementation of SparseNets☆23Updated 6 years ago
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 7 years ago
- ☆25Updated 5 years ago
- Chainer implementation of the paper Robust Conditional Generative Adversarial Networks☆15Updated 4 years ago
- minimal implementation of style transfer☆10Updated 7 years ago
- ☆44Updated 7 years ago
- An Implementation of 'Texture Synthesis Using Convolutional Neural Networks' with Kylberg Texture Dataset☆33Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 5 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- Least Squares Generative Adversarial Network implemented in Chainer☆18Updated 6 years ago
- Implementation of Sequential Variational Autoencoder☆84Updated 7 years ago
- Keras cropping layer implementation☆13Updated 8 years ago
- Binary Stochastic Neurons in PyTorch☆56Updated 6 years ago
- Simple Tensorflow implementation of "Stabilizing Adversarial Nets With Prediction Methods" (ICLR 2018)☆16Updated 6 years ago
- Generating 3D CAD models with manifolds trained by Gaussian Process Latent Variable Models☆20Updated 8 years ago
- ☆16Updated 7 years ago