34 citations · 47 across the 2 of their papers we have counts for
2 papers
cs.CV2021★ 34 cited
Rethinking Coarse-to-Fine Approach in Single Image Deblurring
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong +2
Coarse-to-fine strategies have been extensively used for the architecture design of single image deblurring networks. Conventional methods typically stack sub-networks with multi-s…
eess.IV2019★ 13 cited
GRDN:Grouped Residual Dense Network for Real Image Denoising and GAN-based Real-world Noise Modeling
Dong-Wook Kim, Jae Ryun Chung, Seung-Won Jung
Recent research on image denoising has progressed with the development of deep learning architectures, especially convolutional neural networks. However, real-world image denoising…