Abstract
This work reviews the results of the NTIRE 2023 Challenge on Image Shadow Removal. The described set of solutions were proposed for a novel dataset, which captures a wide range of object-light interactions. It consists of 1200 roughly pixel aligned pairs of real shadow free and shadow affected images, captured in a controlled environment. The data was captured in a white-box setup, using professional equipment for lights and data acquisition sensors. The challenge had a number of 144 participants registered, out of which 19 teams were compared in the final ranking. The proposed solutions extend the work on shadow removal, improving over the performance level describing state-of-the-art methods.
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 |
Publisher | IEEE Computer Society |
Pages | 1788-1807 |
Number of pages | 20 |
ISBN (Electronic) | 9798350302493 |
DOIs | |
State | Published - 2023 |
Externally published | Yes |
Event | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 - Vancouver, Canada Duration: 18 06 2023 → 22 06 2023 |
Publication series
Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
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Volume | 2023-June |
ISSN (Print) | 2160-7508 |
ISSN (Electronic) | 2160-7516 |
Conference
Conference | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023 |
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Country/Territory | Canada |
City | Vancouver |
Period | 18/06/23 → 22/06/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.