Search Results for author: Jae Ryun Chung

Found 1 papers, 1 papers with code

GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling

2 code implementations • 27 May 2019 • Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung

In this paper, we propose a grouped residual dense network (GRDN), which is an extended and generalized architecture of the state-of-the-art residual dense network (RDN).

Ranked #1 on Color Image Denoising on NTIRE 2019 Real Image Denoising Challenge (sRGB)

Generative Adversarial Network Image Denoising +1

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