Search Results for author: Dokyeong Kwon

Found 2 papers, 2 papers with code

DALE : Dark Region-Aware Low-light Image Enhancement

1 code implementation • 28 Aug 2020 • Dokyeong Kwon, Guisik Kim, Junseok Kwon

In this paper, we present a novel low-light image enhancement method called dark region-aware low-light image enhancement (DALE), where dark regions are accurately recognized by the proposed visual attention module and their brightness are intensively enhanced.

Low-Light Image Enhancement

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Code

AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results

1 code implementation • 18 Nov 2019 • Andreas Lugmayr, Martin Danelljan, Radu Timofte, Manuel Fritsche, Shuhang Gu, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Nam Hyung Joon, Yu Seung Won, Guisik Kim, Dokyeong Kwon, Chih-Chung Hsu, Chia-Hsiang Lin, Yuanfei Huang, Xiaopeng Sun, Wen Lu, Jie Li, Xinbo Gao, Sefi Bell-Kligler

For training, only one set of source input images is therefore provided in the challenge.

Image Super-Resolution

158

Paper
Code

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