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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
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers