ananyahjha93 / disentangling-factors-of-variation-using-adversarial-trainingLinks
This repository contains a pytorch implementation for the paper: Disentangling factors of variation in deep representations using adversarial training (https://arxiv.org/abs/1611.03383), which was accepted at NIPS 2016.
☆32Updated 6 years ago
Alternatives and similar repositories for disentangling-factors-of-variation-using-adversarial-training
Users that are interested in disentangling-factors-of-variation-using-adversarial-training are comparing it to the libraries listed below
Sorting:
- 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 Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 3 years ago
- A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation☆139Updated 6 years ago
- ECCV2018☆67Updated 6 years ago
- PyTorch implementation of "Glow: Generative Flow with Invertible 1x1 Convolutions"☆45Updated 6 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- See https://github.com/ilyakava/gan for results on Imagenet 128. Code for a Multi-Hinge Loss with K+1 Conditional GANs☆23Updated 4 years ago
- Few-shot Image Generation with Reptile☆63Updated 6 years ago
- Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)☆81Updated 6 years ago
- Pytorch implementation of NIPS 2017 paper "Modulating early visual processing by language"☆64Updated 6 years ago
- unsupervised video and image generation☆58Updated 4 years ago
- Cross-domain disentanglement network☆91Updated 6 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- ☆50Updated 5 years ago
- Creativity Inspired Zero-Shot Learning☆32Updated 4 years ago
- PyTorch Implementation for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors" (ECCVW'20).☆15Updated 4 years ago
- Pytorch implementation of "One-Shot Unsupervised Cross Domain Translation" NIPS 2018☆140Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Official implementation of "On GANs and GMMs"☆66Updated 5 years ago
- Model implementation and trained network for "A Two-Step Disentanglement Method" by Naama Hadad, Lior Wolf and Moni Shahar☆21Updated 7 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆40Updated 5 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))☆18Updated 2 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- This repository has the pytorch implementation of the paper 'Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders…☆20Updated 6 years ago
- An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language…☆95Updated 5 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 4 years ago
- Tensorflow implementation of Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions (CVPR 2019)☆32Updated 5 years ago
- This repository contains a pytorch implementation for the paper: Challenges in Disentangling Independent Factors of Variation (https://ar…☆8Updated 6 years ago