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pro vyhledávání: '"Masui, Kento"'
Diffusion models have recently shown the ability to generate high-quality images. However, controlling its generation process still poses challenges. The image style transfer task is one of those challenges that transfers the visual attributes of a s
Externí odkaz:
http://arxiv.org/abs/2410.01366
Automatic generation of graphic designs has recently received considerable attention. However, the state-of-the-art approaches are complex and rely on proprietary datasets, which creates reproducibility barriers. In this paper, we propose an open fra
Externí odkaz:
http://arxiv.org/abs/2406.08232
Finding a suitable layout represents a crucial task for diverse applications in graphic design. Motivated by simpler and smoother sampling trajectories, we explore the use of Flow Matching as an alternative to current diffusion-based layout generatio
Externí odkaz:
http://arxiv.org/abs/2403.18187
Autor:
Nagae, Takayuki, Unno, Masashi, Koizumi, Taiki, Miyanoiri, Yohei, Fujisawa, Tomotsumi, Masui, Kento, Kamo, Takanari, Wada, Kei, Eki, Toshihiko, Ito, Yutaka, Hirose, Yuu, Mishima, Masaki
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2021 May . 118(20), 1-10.
Externí odkaz:
https://www.jstor.org/stable/27040412
Publikováno v:
International Journal of Semantic Computing; Dec2018, Vol. 12 Issue 4, p523-540, 18p