There are 19 repositories under disentangled-representations topic.
Pytorch implementation of MixNMatch
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Unsupervised Speech Decomposition Via Triple Information Bottleneck
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
Official pytorch implementation of paper "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
Global Rhythm Style Transfer Without Text Transcriptions
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
Neural network parametrized objective to disentangle and transfer style and content in text
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
Disentagnled Graph Collaborative Filtering, SIGIR2020
Official implementation of SpeechSplit2
🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib
Deep active inference agents using Monte-Carlo methods
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
This repository summarizes the material gathered for the tutorial on learning disentangled representations in the imaging domain, and serves as a roadmap for the disentanglement aficionados.
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]