NTIRE 2019 Challenge on Image Colorization: Report

被引:1
作者
Gu, Shuhang [1 ]
Timofte, Radu [1 ]
Zhang, Richard [2 ]
Suin, Maitreya [3 ]
Purohit, Kuldeep [3 ]
Rajagopalan, A. N. [3 ]
Narayanan, Athi S. [4 ]
Pinjari, Jameer Babu [4 ]
Xiong, Zhiwei [5 ]
Shi, Zhan [5 ]
Chen, Chang [5 ]
Liu, Dong [5 ]
Sharma, Manoj [6 ,7 ,8 ]
Makwana, Megh [6 ,7 ,8 ]
Badhwar, Anuj [6 ,7 ,8 ]
Singh, Ajay Pratap [6 ,7 ,8 ]
Upadhyay, Avinash [6 ,7 ,8 ]
Trivedi, Akkshita [6 ,7 ,8 ]
Saini, Anil [6 ,7 ,8 ]
Chaudhury, Santanu [6 ,7 ,8 ]
Sharma, Prasen Kumar [9 ]
Jain, Priyankar [9 ]
Sur, Arijit [9 ]
Ozbulak, Gokhan [10 ]
机构
[1] Swiss Fed Inst Technol, Comp Vis Lab, Zurich, Switzerland
[2] Adobe, San Jose, CA USA
[3] Indian Inst Technol Madras, Chennai, Tamil Nadu, India
[4] Amrita Vishwa Vidyapeetham, Amritapuri, Kerala, India
[5] Univ Sci & Technol China, Chengdu, Sichuan, Peoples R China
[6] IIT Delhi, CEERI Delhi Ctr, New Delhi, India
[7] CCS Comp Pvt Ltd, New Delhi, India
[8] Delhi Technol Univ, New Delhi, India
[9] Indian Inst Technol Guwahati, Gauhati, Assam, India
[10] Istanbul Tech Univ, Istanbul, Turkey
来源
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW 2019) | 2019年
关键词
D O I
10.1109/CVPRW.2019.00276
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:2233 / 2240
页数:8
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