CompVis / iinLinks
A Disentangling Invertible Interpretation Network
☆122Updated 4 years ago
Alternatives and similar repositories for iin
Users that are interested in iin are comparing it to the libraries listed below
Sorting:
- Official Implementation of "The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement" (ECCV 2020 Spotlight)☆207Updated 4 years ago
- Network-to-Network Translation with Conditional Invertible Neural Networks☆226Updated 3 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆198Updated 3 years ago
- Diverse Image Generation via Self-Conditioned GANs☆159Updated 5 years ago
- Official implementation of FQ-GAN☆169Updated 5 years ago
- Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)☆98Updated 4 years ago
- Training MMD GANs.☆86Updated 7 years ago
- Assessing Generative Models via Precision and Recall (official repository)☆110Updated 3 years ago
- [ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"☆136Updated 3 years ago
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 5 years ago
- ☆50Updated 5 years ago
- Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)☆190Updated 4 years ago
- ☆48Updated 2 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆46Updated 6 years ago
- Improved Precision and Recall Metric for Assessing Generative Models - Official TensorFlow Implementation☆181Updated 4 months ago
- [ICML 2021] Official implementation: Intermediate Layer Optimization for Inverse Problems using Deep Generative Models☆121Updated 3 years ago
- ☆32Updated 5 years ago
- This repository contains the code for the paper: Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders (htt…☆72Updated 7 years ago
- Few-shot adaptation of GANs.☆127Updated 5 years ago
- Invertible Generative Flows☆85Updated 4 years ago
- [NeurIPS'21] "Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly", Tianlong Chen, Yu Cheng, Zhe …☆84Updated 4 years ago
- Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder☆160Updated 4 years ago
- Implementation of Glow in PyTorch☆80Updated 4 years ago
- Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper☆155Updated 4 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆113Updated 4 years ago
- This is a pytorch implementation of the paper "On Leveraging Pretrained GANs for Limited-Data Generation".☆59Updated 5 years ago
- A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"☆95Updated 6 years ago
- Invert and perturb GAN images for test-time ensembling☆97Updated 4 years ago
- Code for: Transforming and Projecting Images into Class-conditional Generative Networks☆195Updated 2 years ago
- BigGAN-AM improves the sample diversity of BigGAN and synthesizes Places365 images.☆20Updated 2 years ago