Publication:
NTIRE 2024 challenge on image super-resolution (×4): methods and results

Simple item page
dc.contributor.coauthorChen Z., Wu Z., Zamfir E.-S., Zhang K., Zhang Y., Timofte R., Yang X., Yu H., Wan C., Hong Y., Huang Z., Zou Y., Huang Y., Lin J., Han B., Guan X., Yu Y., Zhang D., Yin X., Zuo K., Hao J., Zhao K., Yuan K., Sun M., Zhou C., An H., Zhang X., Song Z., Dong Z., Zhao Q., Xu X., Wei P., Dou Z.-C., Wang G.-L., Hsu C.-C., Lee C.-M., Chou Y.-S., Wei Y., Yan X., Li B., Chen H., Zhang S., Chen S., Joshi A., Akalwadi N., Malagi S., Yashaswini P., Desai C., Tabib R.A., Patil U., Mudenagudi U., Sarvaiya A., Joshi J., Kawa S., Upla K., Patwardhan S., Ramachandra R., Hossain S., Park G., Uddin S.M.N., Xu H., Guo Y., Urumbekov A., Yan X., Hao W., Fu M., Orais I., Smith S., Liu Y., Jia W., Xu Q., Xu K., Yuan W., Li Z., Kuang W., Guan R., Deng R., Zhang Z., Wang B., Zhao S., Luo Y., Wei Y., Khan A.H., Micheloni C., Martinel N., Choksy P.
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorKorkmaz, Cansu
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2025-03-06T20:58:31Z
dc.date.issued2024
dc.description.abstractThis paper reviews the NTIRE 2024 challenge on image super-resolution (×4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs using prior information. The LR images originate from bicubic downsampling degradation. The aim of the challenge is to obtain designs/solutions with the most advanced SR performance, with no constraints on computational resources (e.g., model size and FLOPs) or training data. The track of this challenge assesses performance with the PSNR metric on the DIV2K testing dataset. The competition attracted 199 registrants, with 20 teams submitting valid entries. This collective endeavour not only pushes the boundaries of performance in single-image SR but also offers a comprehensive overview of current trends in this field. © 2024 IEEE.
dc.description.indexedbyScopus
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.identifier.doi10.1109/CVPRW63382.2024.00617
dc.identifier.isbn9798350365474
dc.identifier.issn2160-7508
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85190874112
dc.identifier.urihttps://doi.org/10.1109/CVPRW63382.2024.00617
dc.identifier.urihttps://hdl.handle.net/20.500.14288/27482
dc.keywordsImage Sr
dc.keywordsNtire 2024 challenge
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
dc.subjectElectrical and electronics engineering
dc.subjectComputer engineering
dc.titleNTIRE 2024 challenge on image super-resolution (×4): methods and results
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorKorkmaz, Cansu
local.contributor.kuauthorTekalp, Ahmet Murat
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Electrical and Electronics Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication3fc31c89-e803-4eb1-af6b-6258bc42c3d8
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication434c9663-2b11-4e66-9399-c863e2ebae43
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files

Collections

Publications without Fulltext