Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Koki NAGANO"'
Autor:
Koki Nagano, Masayoshi K. Hiraiwa, Naoto Ishiwaka, Yugo Seko, Koya Hashimoto, Taizo Uchida, Francisco Sánchez-Bayo, Daisuke Hayasaka
Publikováno v:
Royal Society Open Science, Vol 10, Iss 11 (2023)
Rapid climate warming has boosted biological invasions and the distribution or expansion polewards of many species: this can cause serious impacts on local ecosystems within the invaded areas. Subsequently, native species may be exposed to threats of
Externí odkaz:
https://doaj.org/article/078192bf4b5a4ed3b9fe9d1d1dd9ef7a
Autor:
Minami Shibuya, Kotaro Ishii, Koki Nagano, Takahiro Fujinaga, Yuta Yanai, Tomohiro Yamada, Yuko Wada, Mayumi Shimizu, Yoshihide Mori
Publikováno v:
Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology. 35:423-427
Autor:
Ikumi Imajo, Tomohiro Yamada, Takahiro Fujinaga, Koki Nagano, Wataru Kumamaru, Yuta Yanai, Toru Chikui, Tamotsu Kiyoshima
Publikováno v:
Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology. 35:445-449
Autor:
Koki Nagano, Tomohiro Yamada, Kotaro Ishii, Takahiro Fujinaga, Minami Shibuya, Yuta Yanai, Tamotsu Kiyoshima, Yoshihide Mori
Publikováno v:
Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology. 34:536-541
Publikováno v:
Japanese Journal of Oral and Maxillofacial Surgery. 68:233-236
Autor:
Takahiro Fujinaga, Yukiko Ohyama, Koki Nagano, Ikumi Imajo, Tomohiro Yamada, Tamotsu Kiyoshima, Yoshihide Mori
Publikováno v:
Journal of Oral and Maxillofacial Surgery, Medicine, and Pathology. 34:169-173
With the development of the Generative Adversarial Networks (GANs) and DeepFakes, AI-synthesized images are now of such high quality that humans can hardly distinguish them from real images. It is imperative for media forensics to develop detectors t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc85fbc120bec766054ba0d0a9e7840e
Given a portrait image of a person and an environment map of the target lighting, portrait relighting aims to re-illuminate the person in the image as if the person appeared in an environment with the target lighting. To achieve high-quality results,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aada21fdb380ae4211eb66024ee33968
We introduce a highly robust GAN-based framework for digitizing a normalized 3D avatar of a person from a single unconstrained photo. While the input image can be of a smiling person or taken in extreme lighting conditions, our method can reliably pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47828d77379babcf0c5b5962507c9244
https://doi.org/10.31219/osf.io/72c4m
https://doi.org/10.31219/osf.io/72c4m
Publikováno v:
ACM Transactions on Graphics. 38:1-16
From angling smiles to duck faces, all kinds of facial expressions can be seen in selfies, portraits, and Internet pictures. These photos are taken from various camera types, and under a vast range of angles and lighting conditions. We present a deep