Results 151 to 160 of about 1,040 (193)
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Effects of ESRGAN in Sugar Apple Ripeness Detection
2023 15th International Conference on Computer and Automation Engineering (ICCAE), 2023José Angelo C Esteves
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Detection of Tubercle Bacilli by Fusion With YOLOv5s and ESRGAN
2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA), 2023Jiangcheng Wan
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DPO-ESRGAN: Perceptually Enhanced Super-Resolution Using Direct Preference Optimization
ElectronicsSuper-resolution (SR) is a long-standing task in the field of computer vision that aims to improve the quality and resolution of an image. ESRGAN is a representative generative adversarial network specialized to produce perceptually convincing SR images.
Hanhoon Park
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2025 5th International Conference on Advanced Algorithms and Neural Networks (AANN)
Chenglong Wang
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Chenglong Wang
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Generative Inpainting of High-resolution Images: Redefined with Real-ESRGAN
International Journal on Artificial Intelligence Tools, 2022Embracing generative models to the inpainting realm has resulted in its overwhelming acceptability as an image editing technique. However, these generative inpainting techniques tend to be cumbersome in view of the large memory footprint and resources consumed during the operation.
Sreelakshmy I. J., Binsu C. Kovoor
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Thermal Image Super-Resolution Using Real-ESRGAN for Human Detection
Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and ApplicationsUnmanned Aerial Vehicles (UAVs) are increasingly crucial in Search and Rescue (SAR) operations due to their ability to enhance efficiency and reduce costs.
Vinícius H. G. Correa +5 more
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Анализ метода генерации изображений высокого разрешения ESRGAN
ТЕНДЕНЦИИ РАЗВИТИЯ НАУКИ И ОБРАЗОВАНИЯ, 2023В данной статье рассмотрен метод генерации изображений высокого разрешения ESRGAN. Описаны его преимущества, недостатки, ближайшие конкуренты, а также применение данного метода в образовательной и медицинской сфере.
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Improving ESRGAN with an additional image quality loss
Multimedia Tools and Applications, 2022Yoonsil Choi, Hanhoon Park
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DeepFake Detection Using ResNeXt, LSTM And ESRGAN
The rise and rapid advancement of the deepfake technology has engendered a new era of digital manipulation, presenting unprecedented challenges in distinguishing authentic content from fabricated media posing various threats. There are mainly four problems.DR Saranya A. +3 more
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