Search Results - data-driven conditional generative image modeling

Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks by Drees, Lukas, Demie, Dereje T., Paul, Madhuri R., Leonhardt, Johannes, Seidel, Sabine J., Döring, Thomas F., Roscher, Ribana

“…Background Image-based crop growth modeling can substantially contribute to precision agriculture by revealing spatial crop development over time, which allows an early and location-specific…”
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A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks by Kadeethum, Teeratorn, O’Malley, Daniel, Fuhg, Jan Niklas, Choi, Youngsoo, Lee, Jonghyun, Viswanathan, Hari S., Bouklas, Nikolaos

“…Here we employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN…”
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Modeling and Simulation of Sidescan Using Conditional Generative Adversarial Network by Bore, Nils, Folkesson, John

“… In this article, we propose data-driven models as a way of removing some of this tradeoff. Using recently proposed conditional generative adversarial nets, we create…”
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A Data-Driven Based Response Reconstruction Method of Plate Structure with Conditional Generative Adversarial Network by Zhang, He, Xu, Chengkan, Jiang, Jiqing, Shu, Jiangpeng, Sun, Liangfeng, Zhang, Zhicheng

“… In this paper, a data-driven based structural-response reconstruction approach by generating response data via a convolutional process is proposed…”
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Machine learning-driven gerotor profile synthesis and optimization using Conditional Generative Adversarial Networks by Brilianto, Rivaldo Mersis, Tampubolon, George Michael, Lee, Dongho, Kim, Chul

“… This study proposes a Conditional Generative Adversarial Network-based approach for automatic gerotor profile generation…”
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Deep learning formulation of electrocardiographic imaging integrating image and signal information with data-driven regularization by Bacoyannis, Tania, Ly, Buntheng, Cedilnik, Nicolas, Cochet, Hubert, Sermesant, Maxime

“… The presented method is based on Conditional Variational AutoEncoders using deep generative neural networks…”
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Synthetic Aperture Radar Deep Statistical Imaging Through Diffusion Generative Model Conditional Inference by Wang, Zhongqi, Song, Chong, Jiao, Zekun, Wang, Bingnan, Xiang, Maosheng

“… However, the existing plug-in denoisers used in statistical SAR imaging, either handcrafted or data-driven, are insufficient for complex remote sensing scenarios…”
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High-resolution MRI synthesis using a data-driven framework with denoising diffusion probabilistic modeling by Chang, Chih-Wei, Peng, Junbo, Safari, Mojtaba, Salari, Elahheh, Pan, Shaoyan, Roper, Justin, Qiu, Richard L J, Gao, Yuan, Shu, Hui-Kuo, Mao, Hui, Yang, Xiaofeng

“… Furthermore, long scan time is not clinically acceptable. Conventional high-resolution images generated using statistical or analytical methods include the limitation…”
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Building Placements In Urban Modeling Using Conditional Generative Latent Optimization by Liang, Jingwen, Liu, Han, Zhao, Yiwei, Sanjabi, Maziar, Sardari, Mohsen, Chaput, Harold, Aghdaie, Navid, Zaman, Kazi

“… Unlike the existing procedural methods, we employ a data-driven approach to this problem…”
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Data-Driven Discovery of 2D Materials for Solar Water Splitting by Agarwal, Abhishek, Goverapet Srinivasan, Sriram, Rai, Beena

“…Hydrogen economy, wherein hydrogen is used as the fuel in the transport and energy sectors, holds significant promise in mitigating the deleterious effects of…”
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Data-driven Crop Growth Simulation on Time-varying Generated Images using Multi-conditional Generative Adversarial Networks by Drees, Lukas, Demie, Dereje T, Paul, Madhuri R, Leonhardt, Johannes, Seidel, Sabine J, Döring, Thomas F, Roscher, Ribana

“… The image prediction model is a conditional Wasserstein generative adversarial network…”
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EM-GAN: Data-Driven Fast Stress Analysis for Multi-Segment Interconnects by Jin, Wentian, Sadiqbatcha, Sheriff, Sun, Zeyu, Zhou, Han, Tan, Sheldon X.-D.

“…). Our work is inspired by the image synthesis and feature of generative deep neural networks…”
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A Rapid, End‐to‐end, Generative Model for Gaseous Phenomena from Limited Views by Qiu, Sheng, Li, Chen, Wang, Changbo, Qin, Hong

“… Specifically, this paper develops a novel conditional generative model to rapidly reconstruct the temporal density and velocity fields of gaseous phenomena based on the sequence of two projection views. With the data…”
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A Few-Shot Open-Circuit Fault Diagnosis of F-Type Inverters Using CGAN-Based Vision Transformer by Mahmoud, Mahmoud S., Salem, Ahmed, Huynh, Van Khang, Robbersmyr, Kjell G.

“… Therefore, this article proposes a fault diagnosis scheme combining a conditional generative adversarial network (CGAN…”
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Deep Learning Formulation of ECGI Integrating Image & Signal Information with Data-driven Regularisation by Bacoyannis, Tania, Ly, Buntheng, Cedilnik, Nicolas, Cochet, Hubert, Sermesant, Maxime

“… The presented method is based on Conditional Variational Autoencoders (CVAE) using deep generative neural networks…”
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Cardiac aging synthesis from cross-sectional data with conditional generative adversarial networks by Campello, Víctor M., Xia, Tian, Liu, Xiao, Sanchez, Pedro, Martín-Isla, Carlos, Petersen, Steffen E., Seguí, Santi, Tsaftaris, Sotirios A., Lekadir, Karim

“… Data-driven modeling of age progression has been conducted successfully in diverse applications such as face or brain aging…”
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A Generative Model of People in Clothing by Lassner, Christoph, Pons-Moll, Gerard, Gehler, Peter V.

“…We present the first image-based generative model of people in clothing for the full body…”
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A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks by Kadeethum, Teeratorn, O'Malley, Daniel, Jan Niklas Fuhg, Choi, Youngsoo, Lee, Jonghyun, Viswanathan, Hari S, Bouklas, Nikolaos

“…This work is the first to employ and adapt the image-to-image translation concept based on conditional generative adversarial networks (cGAN…”
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Generative Modeling of Microweather Wind Velocities for Urban Air Mobility by Shah, Tristan A., Stanley, Michael C., Warner, James E.

“…) data-driven modeling approaches that are largely deterministic…”
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A bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data by Wong, Melvin, Farooq, Bilal

“… The emergence of data-driven demand analysis has led to the increased use of generative modelling to learn the probabilistic dependencies between random variables…”
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