Výsledky vyhledávání - "data-driven unconditional generative image modeling"

Analyzing and Improving the Image Quality of StyleGAN 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autoři: Karras, T. Laine, Samuli Aittala, M. a další

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