Cited By
View all- Zhou YShimada N(2023)Vision + Language Applications: A Survey2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW59228.2023.00090(826-842)Online publication date: Jun-2023
ABLE: Aesthetic Box Lunch Editing
Pages 53 - 56
Abstract
This paper proposes an exploratory research that contains a pre-trained ordering recovery model to obtain correct placement sequences from box lunch images, and a generative adversarial network to composite novel box lunch presentations from single item food and generated layouts. Furthermore, we present Bento800, the first cleanly annotated, high-quality, and standardized dataset for aesthetic box lunch presentation generation and other downstream tasks. Bento800 dataset is available at \urlhttps://github.com/Yutong-Zhou-cv/Bento800_Dataset.
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Index Terms
- ABLE: Aesthetic Box Lunch Editing
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Published In
October 2022
66 pages
ISBN:9781450395038
DOI:10.1145/3552485
- General Chair:
- Yoko Yamakata,
- Program Chairs:
- Atsushi Hashimoto,
- Jingjing Chen
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Publication History
Published: 10 October 2022
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- JST the establishment of university fellowships towards the creation of science technology innovation
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MM '22
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Overall Acceptance Rate 20 of 33 submissions, 61%
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View all- Zhou YShimada N(2023)Vision + Language Applications: A Survey2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW59228.2023.00090(826-842)Online publication date: Jun-2023
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