zhuxinqimac / CommutativeLieGroupVAE-Pytorch
Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
☆22Updated 2 years ago
Alternatives and similar repositories for CommutativeLieGroupVAE-Pytorch:
Users that are interested in CommutativeLieGroupVAE-Pytorch are comparing it to the libraries listed below
- [ICLR 2019] ]Unsupervised Discovery of Parts, Structure, and Dynamics☆46Updated 2 years ago
- Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021☆45Updated 3 years ago
- NP DRAW paper released code☆21Updated 3 years ago
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆54Updated 2 years ago
- Datasets for new state-of-the-art challenge in disentanglement learning☆45Updated 5 years ago
- [ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement☆20Updated 3 years ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Updated 2 years ago
- Structured Object-Aware Physics Prediction for Video Modeling and Planning☆32Updated 4 years ago
- Official Code for ICLR2021 paper "A Geometric Analysis of Deep Generative Image Models and Its Applications"☆48Updated last month
- Experience-embedded Visual Foresight, CoRL 2019☆14Updated 5 years ago
- [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models☆44Updated last year
- ☆41Updated last year
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Backpropagation-Friendly-Eigendecomposition☆72Updated 5 years ago
- [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts☆59Updated 2 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆34Updated 3 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆67Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆79Updated 2 years ago
- [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"☆26Updated last year
- Code for paper `Improving the Fairness of Deep Generative Models without Retraining`☆29Updated 4 years ago
- Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."☆32Updated 3 years ago
- Recent deep generative models are able to provide photo-realistic images as well as visual or textual content embeddings useful to addres…☆21Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated 11 months ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- Unsupervised learning of Object Landmarks through Conditional Image Generation☆47Updated 5 years ago
- ☆41Updated last year
- ☆29Updated 4 years ago
- Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation (ECCV 2020)☆33Updated last year
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Updated last year
- [ICML 2020] Visual Grounding of Learned Physical Models☆39Updated 4 years ago