{"title":"ABLE:美学盒饭编辑","authors":"Yutong Zhou, N. Shimada","doi":"10.1145/3552485.3554935","DOIUrl":null,"url":null,"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.","PeriodicalId":338126,"journal":{"name":"Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"ABLE: Aesthetic Box Lunch Editing\",\"authors\":\"Yutong Zhou, N. Shimada\",\"doi\":\"10.1145/3552485.3554935\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":338126,\"journal\":{\"name\":\"Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications\",\"volume\":\"97 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3552485.3554935\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3552485.3554935","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.