PIRM智能手机感知图像增强挑战赛：报告
计算机视觉与模式识别
2018-10-04 v1
摘要
本文回顾了首届高效感知图像增强挑战赛，重点在于将深度学习模型部署到智能手机上。该挑战赛包含两条赛道。第一条中，参与者解决经典的图像超分辨率问题，双三次下采样因子为4。第二条赛道针对真实世界照片增强，目标是将iPhone 3GS设备拍摄的低质量照片映射到同一台DSLR相机拍摄的照片。本挑战赛使用的目标度量结合了运行时、PSNR分数以及用户研究中测量的解决方案感知结果。为确保提交模型的效率，我们额外在Android智能手机上测量了其运行时和内存需求。所提出的解决方案显著改进了基线结果，定义了智能手机图像增强的SOTA。
引用
@article{arxiv.1810.01641,
title = {PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report},
author = {Andrey Ignatov and Radu Timofte and Thang Van Vu and Tung Minh Luu and Trung X Pham and Cao Van Nguyen and Yongwoo Kim and Jae-Seok Choi and Munchurl Kim and Jie Huang and Jiewen Ran and Chen Xing and Xingguang Zhou and Pengfei Zhu and Mingrui Geng and Yawei Li and Eirikur Agustsson and Shuhang Gu and Luc Van Gool and Etienne de Stoutz and Nikolay Kobyshev and Kehui Nie and Yan Zhao and Gen Li and Tong Tong and Qinquan Gao and Liu Hanwen and Pablo Navarrete Michelini and Zhu Dan and Hu Fengshuo and Zheng Hui and Xiumei Wang and Lirui Deng and Rang Meng and Jinghui Qin and Yukai Shi and Wushao Wen and Liang Lin and Ruicheng Feng and Shixiang Wu and Chao Dong and Yu Qiao and Subeesh Vasu and Nimisha Thekke Madam and Praveen Kandula and A. N. Rajagopalan and Jie Liu and Cheolkon Jung},
journal= {arXiv preprint arXiv:1810.01641},
year = {2018}
}