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Cd-Vae: An Unsupervised Disentangled Representation Learning Framework for Visual Data

https://doi.org/10.2139/ssrn.4671719
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Contrastive Learning for Unpaired Image-to-Image Translation
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High-Fidelity Synthesis with Disentangled Representation
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Disentangled Differentiable Network Pruning
inferredcites →https://doi.org/10.1016/j.patcog.2019.107097openalex-extracted
Disentangled representation learning and residual GAN for age-invariant face verification
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A novel DAGAN for synthesizing garment images based on design attribute disentangled representation
inferredcites →https://doi.org/10.1016/j.patcog.2023.109539openalex-extracted
Hierarchical disentangling network for object representation learning
inferredcites →https://doi.org/10.1016/j.patcog.2023.109944openalex-extracted
Efficient disentangled representation learning for multi-modal finger biometrics
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Building machines that learn and think like people
inferredcites →https://doi.org/10.1109/access.2020.3031549openalex-extracted
Contrastive Representation Learning: A Framework and Review
inferredcites →https://doi.org/10.1109/cvpr.2017.314openalex-extracted
Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00520openalex-extracted
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-extracted
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/icacite53722.2022.9823806openalex-extracted
Retracted: MNIST Handwritten Digit Recognition using Machine Learning
inferredcites →https://doi.org/10.1109/tmm.2021.3057989openalex-extracted
TWGAN: Twin Discriminator Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tmm.2023.3248143openalex-extracted
Language-Guided Face Animation by Recurrent StyleGAN-Based Generator
inferredcites →https://doi.org/10.1109/tnnls.2023.3310118openalex-extracted
Image-Specific Information Suppression and Implicit Local Alignment for Text-Based Person Search
inferredcites →https://doi.org/10.1109/tpami.2013.50openalex-extracted
Representation Learning: A Review and New Perspectives
inferredcites →https://doi.org/10.1109/tsp.2021.3066038openalex-extracted
Mixture of Inference Networks for VAE-Based Audio-Visual Speech Enhancement
inferredcites →https://doi.org/10.1109/wacv56688.2023.00158openalex-extracted
Representation Disentanglement in Generative Models with Contrastive Learning
inferredcites →https://doi.org/10.1609/aaai.v36i7.20667openalex-extracted
Self-Supervised Enhancement of Latent Discovery in GANs
inferredcites →https://doi.org/10.48550/arxiv.1412.6583openalex-extracted
Discovering Hidden Factors of Variation in Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1506.05011openalex-extracted
Bayesian representation learning with oracle constraints
inferredcites →https://doi.org/10.48550/arxiv.1802.04942openalex-extracted
Isolating Sources of Disentanglement in Variational Autoencoders
inferredcites →https://doi.org/10.48550/arxiv.1802.05983openalex-extracted
Disentangling by Factorising
inferredcites →https://doi.org/10.48550/arxiv.1812.02230openalex-extracted
Towards a Definition of Disentangled Representations
inferredcites →https://doi.org/10.48550/arxiv.1906.03292openalex-extracted
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
inferredcites →https://doi.org/10.48550/arxiv.1906.06034openalex-extracted
InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs
inferredcites →https://doi.org/10.48550/arxiv.2002.03754openalex-extracted
Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
inferredcites →https://doi.org/10.48550/arxiv.2002.05709openalex-extracted
A Simple Framework for Contrastive Learning of Visual Representations
inferredcites →https://doi.org/10.48550/arxiv.2004.02546openalex-extracted
GANSpace: Discovering Interpretable GAN Controls
inferredcites →https://doi.org/10.48550/arxiv.2005.04966openalex-extracted
Prototypical Contrastive Learning of Unsupervised Representations
inferredcites →https://doi.org/10.48550/arxiv.2006.07733openalex-extracted
Bootstrap your own latent: A new approach to self-supervised Learning
inferredcites →https://doi.org/10.48550/arxiv.2007.06600openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2010.09709openalex-extracted
Self-supervised Co-training for Video Representation Learning
inferredcites →https://doi.org/10.48550/arxiv.2102.06204openalex-extracted
Disentangled Representations from Non-Disentangled Models
inferredcites →https://doi.org/10.48550/arxiv.2208.05617openalex-extracted
inferredcites →https://doi.org/10.48550/arxiv.2208.14365openalex-extracted
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00158openalex-snapshot
Closed-Form Factorization of Latent Semantics in GANs
inferredcites →https://doi.org/10.48550/arxiv.2102.10543openalex-snapshot
Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View
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