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NTIRE 2019 challenge on image colorization: Report
S. Nah, R. Timofte, R. Zhang, M. Suin, K. Purohit, A.N. Rajagopalan, S. Athi Narayanan, J.B. Pinjari, Z. Xiong, Z. ShiShow More
Published in IEEE Computer Society
Volume: 2019-June
Pages: 2233 - 2240
This paper reviews the NTIRE challenge on image colorization (estimating color information from the corresponding gray image) with focus on proposed solutions and results. It is the first challenge of its kind. The challenge had 2 tracks. Track 1 takes a single gray image as input. In Track 2, in addition to the gray input image, some color seeds (randomly samples from the latent color image) are also provided for guiding the colorization process. The operators were learnable through provided pairs of gray and color training images. The tracks had 188 registered participants, and 8 teams competed in the final testing phase. © 2019 IEEE.
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JournalData powered by TypesetIEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
PublisherData powered by TypesetIEEE Computer Society