Search Results for author: Subin Yang

Found 3 papers, 2 papers with code

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

no code implementations • 8 Feb 2024 • Junghun Cha, Ali Haider, Seoyun Yang, Hoeyeong Jin, Subin Yang, A. F. M. Shahab Uddin, Jaehyoung Kim, Soo Ye Kim, Sung-Ho Bae

A significant volume of analog information, i. e., documents and images, have been digitized in the form of scanned copies for storing, sharing, and/or analyzing in the digital world.

Denoising Image Restoration +1

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

3 code implementations • 15 Sep 2020 • Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, Jiji C. V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results.

Image Super-Resolution

2,712

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Multi-Attention Based Ultra Lightweight Image Super-Resolution

1 code implementation • 29 Aug 2020 • Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Yongwoo Kim, Sung-Ho Bae

MAFFSRN consists of proposed feature fusion groups (FFGs) that serve as a feature extraction block.

Image Super-Resolution

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