disentangled-representations

There are 19 repositories under disentangled-representations topic.

WisconsinAIVision / MixNMatch
Pytorch implementation of MixNMatch
gans pytorch disentangled-representations fine-grained image-generation image-manipulation deep-learning
Language:Python 974
YannDubs / disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset mnist fashion-mnist representation-learning reproducible-research deep-learning pytorch disentanglement
Language:Python 801
matthewvowels1 / Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
vae variational-autoencoder awesome-list disentanglement disentangled-representations representation-learning deep-learning generative-model unsupervised-learning variational-inference variational-auto-encoder variational-bayes
789
auspicious3000 / SpeechSplit
Unsupervised Speech Decomposition Via Triple Information Bottleneck
voice-conversion unsupervised-learning disentangled-representations
Language:Python 655
junyanz / VON
[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.
3d cyclegan disentangled-representations gans generative-adversarial-network pix2pix pytorch shape-generation
Language:Python 531
1Konny / Beta-VAE
Pytorch implementation of β-VAE
beta-vae celeba chairs-dataset disentangled-representations dsprites unsupervised-learning vae
Language:Python 529
Schlumberger / joint-vae
Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation :star2:
disentangled-representations disentanglement generative-models gumbel-softmax pytorch vae
Language:Jupyter Notebook 462
imlixinyang / HiSD
Code for "Image-to-image Translation via Hierarchical Style Disentanglement" (CVPR 2021 Oral).
image-to-image-translation gan disentangled-representations
Language:Python 393
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.
aesthetic-assessment blind-video-quality-assessment disentangled-representations technical-assessment video-quality-assessment
Language:Jupyter Notebook 305
kkanshul / finegan
FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery
computer-vision deep-learning disentangled-representations fine-grained gans generative-adversarial-network image-generation image-manipulation pytorch
Language:Python 279
ysymyth / 3D-SDN
[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics
3d-sdn 3d-vision deep-learning disentangled-representations gans generative-adversarial-networks pytorch
Language:Python 265
1Konny / FactorVAE
Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)
factorvae beta-vae vae disentangled-representations unsupervised-learning celeba chairs-dataset factor-vae dsprites
Language:Python 264
auspicious3000 / AutoPST
Global Rhythm Style Transfer Without Text Transcriptions
disentangled-representations speech-synthesis voice-conversion
Language:Python 264
shubhtuls / factored3d
Code release for "Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene"
3d-reconstruction amodal-perception deep-learning disentangled-representations
Language:Python 178
liaohaofu / adn
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
adn artifact-removal deblurring deep-learning deep-neural-networks dehazing deraining disentangled-representations image-enhancement medical-image-processing medical-imaging metal-artifact
Language:Python 172
DeFMO
rozumden / DeFMO
[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects
fast-moving-objects temporal-super-resolution deblurring deep-learning semi-supervised-learning synthetic-dataset-generation motion-blur disentangled-representations cvpr2021 dataset
Language:Python 171
vineetjohn / linguistic-style-transfer
Neural network parametrized objective to disentangle and transfer style and content in text
deep-learning disentangled-representations natural-language-processing neural-network style-transfer
Language:Python 139
xiangwang1223 / disentangled_graph_collaborative_filtering
Disentagnled Graph Collaborative Filtering, SIGIR2020
collaborative-filtering disentangled-graph-neural-networks disentangled-representations distance-correlation graph-neural-networks independence-modeling neural-collaborative-filtering personalized-recommendation recommendation recommender-system sigir2020
Language:Python 138
xrenaa / DisCo
[ICLR2022] Code for "Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View"
deep-learning generative-adversarial-network generative-model disentangled-representations gan pytorch unsupervised-learning gans pytorch-implementation
Language:Python 134
biggytruck / SpeechSplit2
Official implementation of SpeechSplit2
disentangled-representations speech-disentanglement unsupervised-learning voice-conversion
Language:Python 129
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
autoencoders configurable datasets disentangled-representations disentanglement metric-learning metrics python python3 pytorch pytorch-lightning representation-learning vae
Language:Python 127
Honlan / DMT
Disentangled Makeup Transfer with Generative Adversarial Network
makeup-transfer generative-adversarial-network disentangled-representations tensorflow computer-vision deep-learning
Language:Python 118
zfountas / deep-active-inference-mc
Deep active inference agents using Monte-Carlo methods
active-inference cognitive-architectures cognitive-science machine-learning-models variational-autoencoders variational-inference model-based-reinforcement-learning dsprites animal-ai disentangled-representations monte-carlo-tree-search monte-carlo-methods
Language:Python 85
MehdiZouitine / Learning-Disentangled-Representations-via-Mutual-Information-Estimation
Pytorch implementation of Learning Disentangled Representations via Mutual Information Estimation (ECCV 2020)
deep-learning disentangled-representations disentanglement gan generative-adversarial-network mutual-information pytorch representation-learning
Language:Python 73
tsinghua-fib-lab / CLSR
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
contrastive-learning disentangled-representations disentanglement recommendation recommender-system
Language:Python 72
Sirui-Xu / STARS
[ECCV 2022 oral] Official PyTorch implementation of the paper "Diverse Human Motion Prediction Guided by Multi-Level Spatial-Temporal Anchors"
deep-learning disentangled-representations eccv2022 generative-model graph-neural-networks human-motion-prediction motion-forecasting motion-prediction pytorch
Language:Python 71
h3lio5 / linguistic-style-transfer-pytorch
Implementation of "Disentangled Representation Learning for Non-Parallel Text Style Transfer(ACL 2019)" in Pytorch
style-transfer pytorch latent-representations text-style-transfer variational-autoencoder adversarial-learning disentangled-representations disentanglement acl natural-language-generation
Language:Python 68
Prinsphield / DNA-GAN
DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images
disentangled-representations representation-learning generative-adversarial-network multi-attribute image-manipulation
Language:Python 65
M-Nauta / PIPNet
PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)
concepts explainable-ai explainable-artificial-intelligence image-classification interpretable-machine-learning interpretable-ml prototypes prototypical-learning transparency xai cvpr2023 interpretable-deep-learning pytorch part-prototypes disentangled-representations
Language:Python 63
Alfo5123 / Variational-Sparse-Coding
Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
variational-autoencoder sparse-coding pytorch reproducible-research iclr unsupervised-learning disentangled-representations
Language:Jupyter Notebook 60
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.
disentanglement disentangled-representations content-style-disentanglement computer-vision-application medical-imaging-application
59
HKUDS / DCCF
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
collaborative-filtering contrastive-learning disentangled-representations graph-neural-networks recommender-system self-supervised-learning
Language:Python 58
ParitoshParmar / Fitness-AQA
Fitness Action Quality Assessment or your AI-Fitness Coach [ECCV 2022]
action-quality-assessment action-recognition action-understanding disentangled-representations domain-knowledge exercise-app exercise-pose-analysis fine-grained-classification fitness fitness-app fitness-dataset fitness-tracker gym motion-disentangling pose-appearance-disentangling pose-contrastive-learning pose-estimation representation-learning self-supervised-learning video-understanding
Language:Python 58
xrenaa / Retriever
[ICLR2022] Code for "Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph"
deep-learning unsupervised-learning disentangled-representations voice-conversion style-transfer generative-model content-style-disentanglement co-part-segmentation
54
mpatacchiola / Y-AE
Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern Recognition Letters (2020)
autoencoders disentangled-representations generative-model mnist paper tensorflow y-autoencoder
Language:Python 53
dmitrykazhdan / concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
vae xai concept explainability interpretability model-explanation explainable-ai concept-extraction concept-explanation disentangled-representations disentanglement weakly-supervised-learning weak-supervision library
Language:Python 52