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Generative adversarial networks (GANS) for generating face images
Jurnal Ilmiah Kursor: Menuju Solusi Teknologi InformasiThe advancement of artificial intelligence technology, particularly deep learning, presents significant potential in facial image processing. Generative Adversarial Networks (GANs), a type of deep learning model, have demonstrated remarkable capabilities
Dolly Indra +2 more
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GAN and Chinese WordNet Based Text Summarization Technology [PDF]
Jisuanji kexue, 2022 Since the introduction of neural networks,text summarization techniques continue to attract the attention of resear-chers.Similarly,generative adversarial networks(GANs)can be used for text summarization because they can generate text features or learn ...
LIU Xiao-ying, WANG Huai, WU Jisiguleng
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Variational Generative Adversarial Networks for Preventing Mode Collapse [PDF]
هوش محاسباتی در مهندسی برق, 2022 Generative models try to obtain a probability distribution that is similar to that of observed data. Two different solutions have been proposed in this regard in recent years: one is to minimize the divergence (distance) between the two distributions by ...
Mehdi Jamaseb Khollari +2 more
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Generative Adversarial Networks (GANs) in networking: A comprehensive survey & evaluation [PDF]
Computer Networks, 2021 Accepted for publication at Journal of Computer ...
Hojjat Navidan +6 more
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Poly-GAN: Regularizing Polygons with Generative Adversarial Networks [PDF]
, 2023 Regularizing polygons involves simplifying irregular and noisy shapes of built environment objects (e.g. buildings) to ensure that they are accurately represented using a minimum number of vertices. It is a vital processing step when creating/transmitting online digital maps so that they occupy minimal storage space and bandwidth. This paper presents a
Lasith Niroshan, James D. Carswell
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PTcomp: Post-Training Compression Technique for Generative Adversarial Networks
IEEE Access, 2023 In a time of virtual spaces, the usage of generative adversarial networks is inevitable. Generative adversarial networks (GANs) are generative deep-learning models that can generate realistic data.
Dina Tantawy +2 more
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Generative Adversarial Networks for the Synthesis of Chest X-ray Images
Engineering Proceedings, 2023 One way to diagnose COVID-19 is to use the Polymerase Chain Reaction (PCR) test. However, this test is rather invasive. An alternative would be to use chest images of the patients to diagnose if the patient has COVID-19.
Mai Feng Ng, Carol Anne Hargreaves
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A Review of GAN-Based Super-Resolution Reconstruction for Optical Remote Sensing Images
Remote Sensing, 2023 High-resolution images have a wide range of applications in image compression, remote sensing, medical imaging, public safety, and other fields. The primary objective of super-resolution reconstruction of images is to reconstruct a given low-resolution ...
Xuan Wang +3 more
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Dairy Goat Image Generation Based on Improved-Self-Attention Generative Adversarial Networks
IEEE Access, 2020 The lack of long-range dependence in convolutional neural networks causes weaker performance in generative adversarial networks(GANs) with regard to generating image details. The self-attention generative adversarial network(SAGAN) use the self-attention
Huan Li, Jinglei Tang
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Generative Networks and Royalty-Free Products
Sakarya University Journal of Computer and Information Sciences, 2020 In recent years, with the increasing power of computers and Graphics Processing Units (GPUs), vast variety of deep neural networks architectures have been created and realized.
Yasin Özkan, Pakize Erdoğmuş
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