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pro vyhledávání: '"Samet, Fidan"'
In this paper, we explore a new domain for video-to-video translation. Motivated by the availability of animation movies that are adopted from illustrated books for children, we aim to stylize these videos with the style of the original illustrations
Externí odkaz:
http://arxiv.org/abs/2310.04901
Autor:
Samet, Fidan, Bakir, Oguz
This work presents our computer vision course project called bald men-to-hairy men translation using CycleGAN. On top of CycleGAN architecture, we utilize perceptual loss in order to achieve more realistic results. We also integrate conditional const
Externí odkaz:
http://arxiv.org/abs/2109.13126