Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sanghyeok Son"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78ef335f085e82e9247903b889ca61df
https://doi.org/10.1109/cvprw56347.2022.00026
https://doi.org/10.1109/cvprw56347.2022.00026
Publikováno v:
CVPR Workshops
Burst image super-resolution is an ill-posed problem that aims to restore a high-resolution (HR) image from a sequence of low-resolution (LR) burst images. To restore a photo-realistic HR image using their abundant information, it is essential to ali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c22e68e17fbf49d19f35ca02b91e59a0
https://doi.org/10.1109/cvprw53098.2021.00051
https://doi.org/10.1109/cvprw53098.2021.00051
Autor:
Magauiya Zhussip, Julien Mairal, Ziwei Luo, Christian Micheloni, Haoqiang Fan, Sanghyeok Son, Jean Ponce, Rao Muhammad, Ziluan Liu, Kazutoshi Akita, Xuan Mo, Umer Youliang Yan, Pavel Ostyakov, Youwei Li, Martin Danelljan, Norimichi Ukita, Bruno Lecouat, Lei Yu, Xueyi Zou, Goutam Bhat, Radu Timofte, Shuaicheng Liu, Dae-Shik Kim, Jian Sun, Lanpeng Jia, Wooyeong Cho, Takahiro Maeda, Takeru Oba
Publikováno v:
CVPR Workshops
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca48c4e2fd9c89079b79b7cd6854b8d5
https://doi.org/10.1109/cvprw53098.2021.00073
https://doi.org/10.1109/cvprw53098.2021.00073