求助PDF
{"title":"SRFLOW-Attention:通过多头注意力实现超分辨率,从而有效利用低分辨率信息","authors":"Shinya Ohtani, Nobutaka Kuroki, Masahiro Numa","doi":"10.1002/tee.24086","DOIUrl":null,"url":null,"abstract":"<p>This paper proposes normalizing flow-based image super-resolution techniques using attention modules. In the proposed method, the features of the low-resolution images are extracted using a Swin Transformer. Furthermore, multi-head attention in the flow layers makes effective use of the feature maps. This architecture enables the efficient injection of low-resolution image features extracted by the transformer into the flow layer. Experimental results at x4 magnifications showed that the proposed method achieved state-of-the-art performance for quantitative metrics and visual quality among single-loss architectures. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>","PeriodicalId":13435,"journal":{"name":"IEEJ Transactions on Electrical and Electronic Engineering","volume":"19 8","pages":"1360-1368"},"PeriodicalIF":1.0000,"publicationDate":"2024-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"SRFLOW-Attention: Super Resolution with Multi-Head Attention for Effective Use of Low-Resolution Information\",\"authors\":\"Shinya Ohtani, Nobutaka Kuroki, Masahiro Numa\",\"doi\":\"10.1002/tee.24086\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper proposes normalizing flow-based image super-resolution techniques using attention modules. In the proposed method, the features of the low-resolution images are extracted using a Swin Transformer. Furthermore, multi-head attention in the flow layers makes effective use of the feature maps. This architecture enables the efficient injection of low-resolution image features extracted by the transformer into the flow layer. Experimental results at x4 magnifications showed that the proposed method achieved state-of-the-art performance for quantitative metrics and visual quality among single-loss architectures. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC.</p>\",\"PeriodicalId\":13435,\"journal\":{\"name\":\"IEEJ Transactions on Electrical and Electronic Engineering\",\"volume\":\"19 8\",\"pages\":\"1360-1368\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2024-04-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEJ Transactions on Electrical and Electronic Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/tee.24086\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEJ Transactions on Electrical and Electronic Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/tee.24086","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
引用
批量引用