zhuxinqimac / CommutativeLieGroupVAE-Pytorch

Related projects ⓘ

Alternatives and complementary repositories for CommutativeLieGroupVAE-Pytorch

• ZENGXH / NPDRAW
  NP DRAW paper released code
  ☆22Updated 2 years ago
• zhenjia-xu / psd
  [ICLR 2019] ]Unsupervised Discovery of Parts, Structure, and Dynamics
  ☆46Updated last year
• autonomousvision / frequency_bias
  Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
  ☆45Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• nv-tlabs / meta-sim-structure
  Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation (ECCV 2020)
  ☆33Updated last year
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• xrenaa / CS-DisMo
  [ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement
  ☆20Updated 3 years ago
• IndustAI / learning-group-structure
  Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"
  ☆15Updated last year
• taldatech / deep-latent-particles-pytorch
  [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"
  ☆26Updated last year
• yenchenlin / evf-public
  Experience-embedded Visual Foresight, CoRL 2019
  ☆14Updated 4 years ago
• DarthSid95 / RumiGANs
  Code accompanying the NeurIPS 2020 submission "Teaching a GAN What Not to Learn."
  ☆32Updated 3 years ago
• YunzhuLi / VGPL
  [ICML 2020] Visual Grounding of Learned Physical Models
  ☆37Updated 3 years ago
• NVlabs / High-res-disentanglement-datasets
  Datasets for new state-of-the-art challenge in disentanglement learning
  ☆43Updated 5 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆66Updated last year
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• yilundu / comet
  [NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
  ☆57Updated 2 years ago
• wildphoton / Compositional-Generalization
  [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…
  ☆13Updated 2 years ago
• minyoungg / overparam
  ☆40Updated last year
• karazijal / clevrtex-generation
  ☆39Updated 9 months ago
• AilsaF / RS-GAN
  ☆28Updated 3 years ago
• allenai / ViRB
  Visual Representation Learning Benchmark for Self-Supervised Models
  ☆35Updated 6 months ago
• DuaneNielsen / keypoints
  Unsupervised learning of Object Landmarks through Conditional Image Generation
  ☆47Updated 4 years ago
• zfchenUnique / compositional_physics_learner
  ☆36Updated 2 years ago
• NVlabs / ASG
  ☆32Updated 2 years ago
• KingJamesSong / FastDifferentiableMatSqrt
  ICLR22 "Fast Differentiable Matrix Square Root" and T-PAMI extension
  ☆53Updated 2 years ago
• cvlab-epfl / Power-Iteration-SVD
  Backpropagation-Friendly-Eigendecomposition
  ☆71Updated 4 years ago
• YunjiKim / Unsupervised-Keypoint-Learning-for-Guiding-Class-conditional-Video-Prediction
  An official implementation of the paper "Unsupervised Keypoint Learning for Guiding Class-conditional Video Prediction", NeurIPS 2019
  ☆31Updated last year
• clarken92 / DisentanglementMetrics
  This repository contains the full code for our paper "Theory and evaluation metrics for learning disentangled representations"
  ☆17Updated 3 years ago
• KingJamesSong / latent-flow
  NeurIPS23 "Flow Factorized Representation Learning"
  ☆33Updated 2 weeks ago
• dzld00 / pytorch-manifold-matching
  [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"
  ☆79Updated last year