AntoinePlumerault / Controlling-generative-models-with-continuous-factors-of-variations
Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to address various tasks of computer vision and natural language processing. Their usefulness is nevertheless often limited by the lack of control over the generative process or the poor understanding of the learned rep…
☆21Updated 2 years ago
Alternatives and similar repositories for Controlling-generative-models-with-continuous-factors-of-variations:
Users that are interested in Controlling-generative-models-with-continuous-factors-of-variations are comparing it to the libraries listed below
- Official code repository for Instance Selection for GANs.☆44Updated 4 years ago
- ☆17Updated 2 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- ☆48Updated 3 years ago
- PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021☆23Updated 3 years ago
- Official PyTorch implementation of Spatial Dependency Networks.☆35Updated 4 years ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.☆20Updated last year
- ☆11Updated 3 years ago
- Tensorflow code of the paper "Self-supervised GAN: Analysis and Improvement with Multi-class Minimax Game".☆36Updated 5 years ago
- Official repository for HP-VAE-GAN☆57Updated 9 months ago
- Official implementation of Generating Object Stamps☆15Updated 4 years ago
- Tensorflow 2.x implementation of Gradient Origin Networks☆12Updated 4 years ago
- Fine-grained ImageNet annotations☆29Updated 4 years ago
- Pytorch implementation of of "Domain Intersection and Domain Difference" (ICCV 2019)☆40Updated 5 years ago
- ☆41Updated 2 years ago
- [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements☆40Updated 2 years ago
- PyTorch Implementation of cGANTransfer☆45Updated 3 years ago
- ☆15Updated 4 years ago
- ☆66Updated 3 years ago
- Tensorflow implementation of Discriminator Rejection Sampling☆24Updated 5 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- Official code for paper "Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors"☆28Updated 5 years ago
- DTLC-GAN Tensorflow☆12Updated 6 years ago
- The official Tensorflow implementation for ECCV'20 paper 'Inclusive GAN: Improving Data and Minority Coverage in Generative Models'☆25Updated 2 years ago
- Repo for the work on hierarchical state space models for disentanglement☆21Updated 4 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 5 years ago
- Mining GOLD Samples for Conditional GANs (NeurIPS 2019)☆17Updated 5 years ago
- Code for paper `Improving the Fairness of Deep Generative Models without Retraining`☆29Updated 4 years ago