kreimanlab / WhenPigsFlyContextLinks
☆18Updated 3 years ago
Alternatives and similar repositories for WhenPigsFlyContext
Users that are interested in WhenPigsFlyContext are comparing it to the libraries listed below
Sorting:
- What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions (https://arxiv.org/pdf/2010.08539.pdf)☆39Updated 4 years ago
- ☆42Updated last year
- Datasets for new state-of-the-art challenge in disentanglement learning☆46Updated 6 years ago
- [NeurIPS 2021 Spotlight] Learning to Compose Visual Relations☆102Updated 2 years ago
- Unsupervised learning of Object Landmarks through Conditional Image Generation☆48Updated 5 years ago
- Neural Networks that convert input movies into Physical Scene Graphs (PSGs)☆63Updated 4 years ago
- ☆40Updated 3 years ago
- Burgess et al. "MONet: Unsupervised Scene Decomposition and Representation"☆89Updated 2 years ago
- Code for the paper "Contrastive Learning Inverts the Data Generating Process".☆91Updated last year
- An implementation of the MONet model for unsupervised scene decomposition in PyTorch☆59Updated 3 years ago
- Official code for NeurRIPS 2020 paper "Rel3D: A Minimally Contrastive Benchmark for Grounding Spatial Relations in 3D"☆30Updated 11 months ago
- Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.☆22Updated 3 years ago
- Code for the paper Learning the Predictability of the Future (CVPR 2021)☆170Updated 2 years ago
- Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoenco…☆182Updated 4 years ago
- Official Pytorch implementation of "Playable Video Generation", CVPR 2022 (Oral)☆159Updated 2 years ago
- EfficientMORL (ICML'21)☆22Updated 4 years ago
- ☆22Updated 4 years ago
- Learning to See by Looking at Noise☆113Updated last year
- Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"☆49Updated last year
- ☆23Updated 5 months ago
- [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"☆26Updated 2 years ago
- Unsupervised Part Discovery from Contrastive Reconstruction (NeurIPS 2021)☆66Updated last year
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆55Updated 5 years ago
- [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields☆69Updated 2 years ago
- ☆66Updated 4 years ago
- [ICLR 2019] ]Unsupervised Discovery of Parts, Structure, and Dynamics☆46Updated 2 years ago
- Visual Representation Learning Benchmark for Self-Supervised Models☆35Updated last year
- Self-supervised learning through the eyes of a child☆144Updated 4 years ago
- Inferring the Similarity of Task-Derived Representations from Brain Activity☆16Updated 3 years ago
- Official PyTorch implementation of 'RELATE: Physically Plausible Multi-Object SceneSynthesis Using Structured Latent Spaces'.☆31Updated 5 years ago