clvrai / Generative-Latent-Optimization-Tensorflow
Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
☆95Updated 7 years ago
Alternatives and similar repositories for Generative-Latent-Optimization-Tensorflow:
Users that are interested in Generative-Latent-Optimization-Tensorflow are comparing it to the libraries listed below
- PixelVAE with or without regularization☆66Updated 7 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 6 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆81Updated 6 years ago
- PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)☆97Updated 7 years ago
- Code of the paper `Disentangling factors of variation in deep representations using adversarial training` by Mathieu, Zaho, Ramesh, Sprec…☆21Updated 7 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆80Updated 7 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Updated 7 years ago
- in progress☆117Updated 6 years ago
- ☆13Updated 7 years ago
- ☆63Updated 8 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Adversarially Learned Inference in Pytorch☆30Updated 7 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆150Updated 4 years ago
- ☆50Updated 2 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆119Updated 7 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆245Updated 6 years ago
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 7 years ago
- The Variational Homoencoder: Learning to learn high capacity generative models from few examples☆34Updated last year
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆90Updated 3 years ago
- Cleaned original source code from my NIPS publication☆154Updated 7 years ago
- Code for Attentive Recurrent Comparators☆57Updated 8 years ago
- adversarial autoencoder (AAE) with tensorflow for MNIST☆19Updated 7 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago
- Style and Structure GAN (ECCV 2016)☆112Updated 7 years ago
- ☆77Updated 9 years ago
- Implementation of Adversarial Autoencoder with Theano☆40Updated 8 years ago