Alternatives and similar repositories for relate

Users that are interested in relate are comparing it to the libraries listed below

• yenchenlin / evf-public
  Experience-embedded Visual Foresight, CoRL 2019
  ☆14Updated 5 years ago
• google-research / fitvid
  ☆67Updated 4 years ago
• google-research / sunds
  ☆26Updated last year
• taldatech / deep-latent-particles-pytorch
  [ICML 2022] Official PyTorch implementation of the paper "Unsupervised Image Representation Learning with Deep Latent Particles"
  ☆27Updated last year
• nv-tlabs / meta-sim-structure
  Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation (ECCV 2020)
  ☆33Updated last year
• ricsonc / grnn
  Learning Spatial Common Sense with Geometry-Aware Recurrent Networks
  ☆55Updated 5 years ago
• JindongJiang / SCALOR
  Official Release of ICLR 2020 paper "SCALOR: Generative World Models with Scalable Object Representations"
  ☆49Updated last year
• zhuxinqimac / CommutativeLieGroupVAE-Pytorch
  Code for ICML2021 paper 'Commutative Lie Group VAE for Disentanglement Learning'.
  ☆22Updated 2 years ago
• matthewvowels1 / DisentanglingSequences
  Repo for the work on hierarchical state space models for disentanglement
  ☆21Updated 4 years ago
• zlai0 / VideoAutoencoder
  Video Autoencoder: self-supervised disentanglement of 3D structure and motion (ICCV 2021). Website: https://zlai0.github.io/VideoAutoenco…
  ☆181Updated 3 years ago
• stelzner / obsurf
  Official code release for the ObSuRF model
  ☆33Updated 2 years ago
• josh-tobin / egqn-datasets
  ☆13Updated 5 years ago
• NVlabs / High-res-disentanglement-datasets
  Datasets for new state-of-the-art challenge in disentanglement learning
  ☆45Updated 5 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
  ☆30Updated 2 years ago
• kampta / PatchGame
  PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021
  ☆23Updated 4 years ago
• unixpickle / learn-nerf
  Learning about Neural Radiance Fields
  ☆67Updated 3 years ago
• pemami4911 / EfficientMORL
  EfficientMORL (ICML'21)
  ☆21Updated 3 years ago
• thunguyenphuoc / BlockGAN
  ☆43Updated 3 years ago
• medhini / audio-video-textures
  Audio-conditioned video texture generation
  ☆24Updated 2 years ago
• yilundu / gem
  [NeurIPS 2021] Code for Learning Signal-Agnostic Manifolds of Neural Fields
  ☆68Updated 2 years ago
• facebookresearch / c3dm
  Code for Canonical 3D Deformable Mapping (C3DM) paper
  ☆19Updated 3 years ago
• DuaneNielsen / keypoints
  Unsupervised learning of Object Landmarks through Conditional Image Generation
  ☆47Updated 5 years ago
• ajayjain / lmconv
  Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"
  ☆78Updated 5 years ago
• karazijal / clevrtex-generation
  ☆41Updated last year
• neuroailab / PSGNets
  Neural Networks that convert input movies into Physical Scene Graphs (PSGs)
  ☆63Updated 4 years ago
• zhixuan-lin / SPACE
  Official PyTorch implementation of "SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition"
  ☆104Updated last year
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 4 years ago
• applied-ai-lab / genesis
  Official PyTorch implementation of GENESIS and GENESIS-V2
  ☆110Updated 3 years ago
• ehsanik / muscleTorch
  What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions (https://arxiv.org/pdf/2010.08539.pdf)
  ☆39Updated 4 years ago
• fabienbaradel / cophy
  "CoPhy: Counterfactual Learning of Physical Dynamics", F. Baradel, N. Neverova, J. Mille, G. Mori, C. Wolf, ICLR'2020
  ☆34Updated 5 years ago