Search Results for author: Sung-Jin Cho

Found 2 papers, 2 papers with code

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

4 code implementations ICCV 2021 Sung-Jin Cho, Seo-won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko

Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks.

Deblurring Image Deblurring

W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

1 code implementation20 Nov 2019 Kwang-Hyun Uhm, Seung-Wook Kim, Seo-won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko

Recent research on learning a mapping between raw Bayer images and RGB images has progressed with the development of deep convolutional neural networks.

Cannot find the paper you are looking for? You can Submit a new open access paper.