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Neural style transfer: A review
The seminal work of Gatys et al. demonstrated the power of Convolutional Neural Networks
(CNNs) in creating artistic imagery by separating and recombining image content and style …
(CNNs) in creating artistic imagery by separating and recombining image content and style …
Deep learning for image colorization: Current and future prospects
Image colorization, as an essential problem in computer vision (CV), has attracted an
increasing amount of researchers attention in recent years, especially deep learning-based …
increasing amount of researchers attention in recent years, especially deep learning-based …
Stylediffusion: Controllable disentangled style transfer via diffusion models
[ספר][B] Rebooting AI: Building artificial intelligence we can trust
G Marcus, E Davis - 2019 - books.google.com
Two leaders in the field offer a compelling analysis of the current state of the art and reveal
the steps we must take to achieve a robust artificial intelligence that can make our lives …
the steps we must take to achieve a robust artificial intelligence that can make our lives …