Picture for Sung-Jea Ko

Sung-Jea Ko

Image Generation with Self Pixel-wise Normalization

Jan 26, 2022
Yoon-Jae Yeo, Min-Cheol Sagong, Seung Park, Sung-Jea Ko, Yong-Goo Shin

* 13 pages, 8 figures

Access Paper or Ask Questions

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Aug 11, 2021
Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko

Figure 1 for Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Figure 2 for Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Figure 3 for Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Figure 4 for Rethinking Coarse-to-Fine Approach in Single Image Deblurring

* Accepted by IEEE International Conference on Computer Vision (ICCV) 2021

Access Paper or Ask Questions

Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

Jul 28, 2021
Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Won Jung, Sung-Jea Ko

Figure 1 for Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

Figure 2 for Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

Figure 3 for Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

Figure 4 for Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

* submitted to IEEE transactions on Neural Networks and Learning System

Access Paper or Ask Questions

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

Nov 22, 2019
Kwang-Hyun Uhm, Seung-Wook Kim, Seo-Won Ji, Sung-Jin Cho, Jun-Pyo Hong, Sung-Jea Ko

Figure 1 for W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

Figure 2 for W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

Figure 3 for W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

Figure 4 for W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

* Accepted by ICCVW 2019

Access Paper or Ask Questions

AIM 2019 Challenge on Image Demoireing: Methods and Results

Nov 08, 2019
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan

Figure 1 for AIM 2019 Challenge on Image Demoireing: Methods and Results

Figure 2 for AIM 2019 Challenge on Image Demoireing: Methods and Results

Figure 3 for AIM 2019 Challenge on Image Demoireing: Methods and Results

Figure 4 for AIM 2019 Challenge on Image Demoireing: Methods and Results

* arXiv admin note: text overlap with arXiv:1911.02498

Access Paper or Ask Questions

cGANs with Conditional Convolution Layer

Jun 03, 2019
Min-Cheol Sagong, Yong-Goo Shin, Yoon-Jae Yeo, Seung Park, Sung-Jea Ko

Figure 1 for cGANs with Conditional Convolution Layer

Figure 2 for cGANs with Conditional Convolution Layer

Figure 3 for cGANs with Conditional Convolution Layer

Figure 4 for cGANs with Conditional Convolution Layer

* Submitted to International Journal of Computer Vision (IJCV)

Access Paper or Ask Questions

PEPSI++: Fast and Lightweight Network for Image Inpainting

May 22, 2019
Yong-Goo Shin, Min-Cheol Sagong, Yoon-Jae Yeo, Seung-Wook Kim, Sung-Jea Ko

Figure 1 for PEPSI++: Fast and Lightweight Network for Image Inpainting

Figure 2 for PEPSI++: Fast and Lightweight Network for Image Inpainting

Figure 3 for PEPSI++: Fast and Lightweight Network for Image Inpainting

Figure 4 for PEPSI++: Fast and Lightweight Network for Image Inpainting

* Submitted to IEEE transactions on Neural Networks and Learning Systems

Access Paper or Ask Questions