Showing 21 - 40 results of 256 for search '"generative adversarial networks"', query time: 0.05s Refine Results
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    Generating context-specific sports training plans by combining generative adversarial networks. by Juquan Tan, Jingwen Chen

    Published 2025-01-01
    “…This study aims to develop a Generative Adversarial Network (GAN)- based framework to create context-specific training plans by integrating numeric attributes (e.g., age, heart rate) and motion features from video data. …”
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    DragGAN: Interactive Point-Based Image Manipulation on Generative Adversarial Networks by Wu Muran

    Published 2025-01-01
    “…Users have increasingly demanded greater control over generated images, including flexibility, precision, and versatility as a result of the development of Generative Adversarial Networks (GANs). This post introduces DragGAN, a picture-enhancing method that uses engaging dragging to obtain exact control over philosophical photos. …”
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    Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology by Nageswara Guptha M, Y. K. Guruprasad, Yuvaraja Teekaraman, Ramya Kuppusamy, Amruth Ramesh Thelkar

    Published 2022-01-01
    “…Also, for tiny object detection, we recommend a novel Perceptual Generative Adversarial Network method that bridges the representation gap between small and large objects. …”
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    Generative Adversarial Network-Based Edge-Preserving Superresolution Reconstruction of Infrared Images by Yuqing Zhao, Guangyuan Fu, Hongqiao Wang, Shaolei Zhang, Min Yue

    Published 2021-01-01
    “…In the first stage of the generative adversarial network, it focuses on recovering the overall contour information of the image to obtain clear image edges; the second stage of the generative adversarial network focuses on recovering the detailed feature information of the image and has a stronger ability to express details. …”
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    Generating unseen diseases patient data using ontology enhanced generative adversarial networks by Chang Sun, Michel Dumontier

    Published 2025-01-01
    “…., electronic health records), holds promise for fundamental research, AI model development, and enhancing data privacy safeguards. Generative Adversarial Networks (GANs) have been employed for this purpose, but their performance is largely constrained by their reliance on training data, rendering them inadequate for rare or previously unseen diseases. …”
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    Diffused Multi-scale Generative Adversarial Network for low-dose PET images reconstruction by Xiang Yu, Daoyan Hu, Qiong Yao, Yu Fu, Yan Zhong, Jing Wang, Mei Tian, Hong Zhang

    Published 2025-02-01
    “…Abstract Purpose The aim of this study is to convert low-dose PET (L-PET) images to full-dose PET (F-PET) images based on our Diffused Multi-scale Generative Adversarial Network (DMGAN) to offer a potential balance between reducing radiation exposure and maintaining diagnostic performance. …”
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    Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

    Published 2021-01-01
    “…The experiment compared the entropy results of different time series with the detection results of generative adversarial networks and automatic encoders and showed that the method proposed in this paper had relatively high detection accuracy.…”
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