Search Results - Generative autoencoder

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Authors: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Contributors: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Source: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :5366-5378

Subject Terms: FOS: Computer and information sciences, masked autoencoder, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Human mesh recovery, masked generative modeling, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2405.18839
https://hal.science/hal-04980723v1

Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder.

Authors: Hasenstab, Kyle Hahn, Lewis Chao, Nick et al.

Source: Scientific Reports. 14(1)

Subject Terms: Autoencoder, Chest radiographs, Convolutional neural network, Explainable artificial intelligence, Generative adversarial network, Humans, Radiography, Thoracic, Neural Networks, Computer, Male, Female, Natriuretic Peptide, Brain, Middle Aged, Aged, Peptide Fragments, Heart Failure, Image Processing, Computer-Assisted

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/1tq0z60t
https://escholarship.org/content/qt1tq0z60t/qt1tq0z60t.pdf

Generative autoencoder to prevent overregularization of variational autoencoder

Authors: YoungMin Ko SunWoo Ko YoungSoo Kim

Source: ETRI Journal, Vol 47, Iss 1, Pp 80-89 (2025)

Subject Terms: autoencoder, 0301 basic medicine, 0303 health sciences, 03 medical and health sciences, TK7800-8360, Telecommunication, variational autoencoder, generative model, TK5101-6720, Electronics, data augmentation, dimensionality reduction

Access URL: https://doaj.org/article/b13da10f4ba44f86a90371832e0bc345

GAME-Net: an ensemble deep learning framework integrating Generative Autoencoders and attention mechanisms for automated brain tumor segmentation in MRI

Authors: Ihtisham Ul Haq Abid Iqbal Muhammad Anas et al.

Source: Frontiers in Computational Neuroscience, Vol 19 (2025)

Subject Terms: brain tumor segmentation, Generative Autoencoder, attention mechanism, ensemble deep learning, magnetic resonance imaging (MRI), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fncom.2025.1702902/full; https://doaj.org/toc/1662-5188

Access URL: https://doaj.org/article/31bdc5d7a2c24e8ab32e3d029dcc7c4d

Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow

Authors: Mohsen Saffari Mahdi Khodayar Mohammad E. Khodayar

Source: IEEE Transactions on Emerging Topics in Computational Intelligence. 8:3382-3395

Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging

Authors: Yurong Chen Yaonan Wang Hui Zhang

Source: IEEE Transactions on Circuits and Systems for Video Technology. 34:8629-8643

Using Bellman Optimality Principle for the Generative Autoencoder Architecture for the Problems of the Attribute Data Typesetting and Semantic Description in Data Management

Authors: Sergey Kuznetsov

Source: Differential Equations and Control Processes. :171-182

Generative autoencoder to prevent overregularization of variational autoencoder.

Authors: Ko, YoungMin Ko, SunWoo Kim, YoungSoo

Source: ETRI Journal. Feb2025, Vol. 47 Issue 1, p80-89. 10p.

Subject Terms: Machine learning, Probabilistic generative models, Comparative studies, Latent variables, Approximation error

Enabling dynamic 3D coherent diffraction imaging via adaptive latent space tuning of generative autoencoders

Authors: Alexander Scheinker Reeju Pokharel

Source: npj Computational Materials, Vol 10, Iss 1, Pp 1-15 (2024)

Subject Terms: Materials of engineering and construction. Mechanics of materials, TA401-492, Computer software, QA76.75-76.765

File Description: electronic resource

Relation: https://doaj.org/toc/2057-3960

Access URL: https://doaj.org/article/945a8e67a2904660b35f96d008445253

Evolutionary design of conductive pathways using a generative autoencoder

Authors: Matei C. Ignuta-Ciuncanu Hannes Stärk Ricardo F. Martinez-Botas

Source: International Communications in Heat and Mass Transfer. 166:109098

Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization

Authors: Kim, Sewon Jang, Hanbyol Hong, Seokjun et al.

Subject Terms: Biomedical and Clinical Sciences, Engineering, Biomedical Imaging, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Magnetic resonance image, Image synthesis, Multi-contrast imaging, Geneartive adversarial networks, Autoencoder regularization, Bloch equation, Medical and Health Sciences, Nuclear Medicine & Medical Imaging, Biomedical and clinical sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/5bg5m3zm
https://escholarship.org/content/qt5bg5m3zm/qt5bg5m3zm.pdf

Semisupervised Generative Autoencoder for Single-Cell Data

Authors: Ngo Trong, Trung Mehtonen, Juha González, Geraldo et al.

Contributors: Ngo Trong, Trung Mehtonen, Juha González, Geraldo et al.

Source: J Comput Biol

Subject Terms: autoencoder, 0301 basic medicine, generative, variational, 0206 medical engineering, deep learning, Computational Biology, Bayes Theorem, 02 engineering and technology, single-cell, 03 medical and health sciences, semisupervised, ICML 2019 Conference Papers, Neural Networks, Computer, Single-Cell Analysis, protein, Transcriptome

File Description: application/pdf

Access URL: https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0337
https://pubmed.ncbi.nlm.nih.gov/31794242
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7415880
https://doi.org/10.1089/cmb.2019.0337
https://www.liebertpub.com/doi/10.1089/cmb.2019.0337
https://erepo.uef.fi/handle/123456789/7964
https://www.scilit.net/article/70ef98d0b765cb9922dece2a3686f3f9
https://dblp.uni-trier.de/db/journals/jcb/jcb27.html#TrongMGKHH20
https://erepo.uef.fi/handle/123456789/7964

Component-aware generative autoencoder for structure hybrid and shape completion

Authors: Fan Zhang Qiang Fu Yang Liu et al.

Source: Graphical Models, Vol 129, Iss , Pp 101185- (2023)

Subject Terms: Generative autoencoder, Structure hybrid, Shape completion, 3D modeling, Science, Technology (General), T1-995

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1524070323000152; https://doaj.org/toc/1524-0703

Access URL: https://doaj.org/article/85ab1d36d15541b6aabfb1966b6ec099

Geometry-Aware Generative Autoencoders for Warped Riemannian Metric Learning and Generative Modeling on Data Manifolds

Authors: Sun, Xingzhi Liao, Danqi MacDonald, Kincaid et al.

Index Terms: Computer Science - Machine Learning, Mathematics - Differential Geometry, Statistics - Machine Learning, text

URL: http://arxiv.org/abs/2410.12779

MEGA: Masked Generative Autoencoder for Human Mesh Recovery

Authors: Fiche, Guénolé Leglaive, Simon Alameda-Pineda, Xavier et al.

Index Terms: Computer Science - Computer Vision and Pattern Recognition, text

URL: http://arxiv.org/abs/2405.18839

Component-Aware Generative Autoencoder for Structure Hybrid and Shape Completion

Authors: Fan Zhang Qiang Fu Yang Liu et al.

Source: Graphical Models, Vol 129, Iss, Pp 101185-(2023)

Subject Terms: Science, T1-995, Generative autoencoder, Structure hybrid, Shape completion, Technology (General), 3D modeling

Access URL: https://doaj.org/article/85ab1d36d15541b6aabfb1966b6ec099

Dual Contradistinctive Generative Autoencoder

Authors: Zhuowen Tu Kwonjoon Lee Dacheng Li et al.

Source: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :823-832

Subject Terms: FOS: Computer and information sciences, 03 medical and health sciences, 0302 clinical medicine, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://arxiv.org/pdf/2011.10063
http://arxiv.org/abs/2011.10063
https://dblp.uni-trier.de/db/conf/cvpr/cvpr2021.html#ParmarLLT21
https://openaccess.thecvf.com/content/CVPR2021/papers/Parmar_Dual_Contradistinctive_Generative_Autoencoder_CVPR_2021_paper.pdf
https://openaccess.thecvf.com/content/CVPR2021/html/Parmar_Dual_Contradistinctive_Generative_Autoencoder_CVPR_2021_paper.html
https://openreview.net/forum?id=5vShUEyjmm
https://arxiv.org/abs/2011.10063

Quantized Generative Autoencoder for Audio Spectrograms

Authors: M. Celeste Cebedio Lucas A. Rabioglio Luciana De Micco

Source: IEEE Embedded Systems Letters. :1-1

Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders

Authors: Solin, Arno Kannala Juho et al.

Source: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). :3109-3118

Subject Terms: ta113, FOS: Computer and information sciences, Computer Science - Machine Learning, Statistics - Machine Learning, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, 0202 electrical engineering, electronic engineering, information engineering, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, Machine Learning (cs.LG), 0105 earth and related environmental sciences

Access URL: http://arxiv.org/pdf/1904.06145
http://arxiv.org/abs/1904.06145
http://juuli.fi/Record/0368317620
https://doi.org/10.1109/WACV45572.2020.9093375
https://openaccess.thecvf.com/content_WACV_2020/papers/Heljakka_Towards_Photographic_Image_Manipulation_with_Balanced_Growing_of_Generative_Autoencoders_WACV_2020_paper.pdf
https://arxiv.org/abs/1904.06145
https://openaccess.thecvf.com/content_WACV_2020/html/Heljakka_Towards_Photographic_Image_Manipulation_with_Balanced_Growing_of_Generative_Autoencoders_WACV_2020_paper.html
https://arxiv.org/pdf/1904.06145.pdf
https://dblp.uni-trier.de/db/journals/corr/corr1904.html#abs-1904-06145
http://ui.adsabs.harvard.edu/abs/2019arXiv190406145H/abstract

Privacy-Preserving High-dimensional Data Collection with Federated Generative Autoencoder

Authors: Xuebing Zhou Jens Grossklags Xue Jiang

Source: Proceedings on Privacy Enhancing Technologies. 2022:481-500

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://www.sciendo.com/pdf/10.2478/popets-2022-0024
https://sciendo.com/article/10.2478/popets-2022-0024