disentangled-representations
There are 113 repositories under disentangled-representations topic.
WisconsinAIVision/MixNMatch
Pytorch implementation of MixNMatch
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
auspicious3000/SpeechSplit
Unsupervised Speech Decomposition Via Triple Information Bottleneck
1Konny/Beta-VAE
Pytorch implementation of β-VAE
junyanz/VON
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
Schlumberger/joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
VQAssessment/DOVER
[ICCV 2023, Official Code] for paper "Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives". Official Weights and Demos provided.
imlixinyang/HiSD
Code for "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
auspicious3000/AutoPST
Global Rhythm Style Transfer Without Text Transcriptions
kkanshul/finegan
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
1Konny/FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
ysymyth/3D-SDN
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
liaohaofu/adn
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
shubhtuls/factored3d
Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
rozumden/DeFMO
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
vineetjohn/linguistic-style-transfer
Neural network parametrized objective to disentangle and transfer style and content in text
xiangwang1223/disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
xrenaa/DisCo
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
biggytruck/SpeechSplit2
Official implementation of SpeechSplit2
nmichlo/disent
🧶 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
Honlan/DMT
Disentangled Makeup Transfer with Generative Adversarial Network
zfountas/deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
MehdiZouitine/Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
tsinghua-fib-lab/CLSR
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
ParitoshParmar/Fitness-AQA
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
Sirui-Xu/STARS
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
M-Nauta/PIPNet
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
h3lio5/linguistic-style-transfer-pytorch
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
Prinsphield/DNA-GAN
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
Alfo5123/Variational-Sparse-Coding
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
vios-s/disentanglement_tutorial
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.
HKUDS/DCCF
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
dmitrykazhdan/concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
explanare/ravel
Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
xrenaa/Retriever
[ICLR2022] Code for "Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph"