Výsledky vyhledávání - IEEE/CVF Conference on Computer Vision AND Pattern Recognition*
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Zdroj: IEEE Computer Society Conference on Computer Vision and Pattern Recognition. :8107-8116
Témata: ta113, Modulation, Measurement, Standards, unconditional image modeling, data visualisation, generator normalization, style-based GAN architecture, data-driven unconditional generative image modeling, distribution quality metrics, unsupervised learning, Convolution, Generators, StyleGAN architecture, perceived image quality, Image resolution, Training, neural net architecture, image coding, image resolution
Přístupová URL adresa: http://juuli.fi/Record/0371030520
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Témata: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Popis souboru: application/octet-stream
Přístupová URL adresa: https://eprints.soton.ac.uk/481380/
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Zdroj: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). :14235-14246
Témata: FOS: Computer and information sciences, Computer Science - Computation and Language, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Computation and Language (cs.CL)
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Zdroj: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :430-439
Témata: FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Computer Science - Artificial Intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
Přístupová URL adresa: http://arxiv.org/abs/2504.06925
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Autoři: Voulgaris, Georgios
Zdroj: 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). :2206-2215
Témata: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
Přístupová URL adresa: http://arxiv.org/abs/2505.23597
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Resource Type: eBook.
Categories: COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Image Processing, MATHEMATICS / Probability & Statistics / General
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