clvrai / Generative-Latent-Optimization-Tensorflow
Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
☆96Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for Generative-Latent-Optimization-Tensorflow
- Code for the models in "PixelVAE: A Latent Variable Model for Natural Images" (https://arxiv.org/abs/1611.05013☆93Updated 7 years ago
- PixelVAE with or without regularization☆66Updated 7 years ago
- A Tensorfflow implementation of Attend, Infer, Repeat☆82Updated 5 years ago
- Implementation of Coulomb GANs☆62Updated 3 years ago
- Official implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"☆95Updated 6 years ago
- pytorch implementation of Rosca, Mihaela, et al. "Variational Approaches for Auto-Encoding Generative Adversarial Networks." arXiv prepri…☆79Updated 7 years ago
- PyTorch implementation of DRAGAN (https://arxiv.org/abs/1705.07215)☆97Updated 7 years ago
- in progress☆117Updated 5 years ago
- boundary-seeking generative adversarial networks☆46Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 5 years ago
- TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).☆43Updated 7 years ago
- Code to reproduce results from the paper "AmbientGAN: Generative models from lossy measurements"☆89Updated 6 years ago
- Precise Recovery of Latent Vectors from Generative Adversarial Networks in PyTorch☆32Updated 7 years ago
- Implementation of Hierarchical Long-term Video Prediction without Supervision☆90Updated 2 years ago
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)☆125Updated 6 years ago
- Implementation of Sequential Attend, Infer, Repeat (SQAIR)☆97Updated 5 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
- Learning to Avoid Errors in GANs by Input Space Manipulation (Code for paper)☆23Updated 7 years ago
- ☆13Updated 7 years ago
- Weight initialization schemes for PyTorch nn.Modules☆70Updated 7 years ago
- Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch☆118Updated 7 years ago
- PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks☆80Updated 6 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 7 years ago
- Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"☆151Updated 3 years ago
- adversarial autoencoder (AAE) with tensorflow for MNIST☆19Updated 6 years ago
- Reimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorf…☆71Updated 5 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Updated 6 years ago
- NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching☆82Updated 6 years ago