Publications (10)
Texture Transform Attention for Realistic Image Inpainting
Yejin Kim, Manri Cheon, Junwoo Lee
Over the last few years, the performance of inpainting to fill missing regions has shown significant improvements by using deep neural networks. Most of inpainting work create a vi…
Lightweight and Efficient Image Super-Resolution with Block State-based Recursive Network
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon +1
Recently, several deep learning-based image super-resolution methods have been developed by stacking massive numbers of layers. However, this leads too large model sizes and high c…
MAMNet: Multi-path Adaptive Modulation Network for Image Super-Resolution
Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon +1
In recent years, single image super-resolution (SR) methods based on deep convolutional neural networks (CNNs) have made significant progress. However, due to the non-adaptive natu…
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Jinjin Gu, Haoming Cai, Chao Dong +47
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (…
Generative adversarial network-based image super-resolution using perceptual content losses
Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi +1
In this paper, we propose a deep generative adversarial network for super-resolution considering the trade-off between perception and distortion. Based on good performance of a rec…
Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality
Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon +1
Recently, it has been shown that in super-resolution, there exists a tradeoff relationship between the quantitative and perceptual quality of super-resolved images, which correspon…
Impact of Three-Dimensional Video Scalability on Multi-View Activity Recognition using Deep Learning
Jun-Ho Choi, Manri Cheon, Min-Su Choi +1
Human activity recognition is one of the important research topics in computer vision and video understanding. It is often assumed that high quality video sequences are available f…
Ambiguity of Objective Image Quality Metrics: A New Methodology for Performance Evaluation
Manri Cheon, Toinon Vigier, Lukáš Krasula +3
Objective image quality metrics try to estimate the perceptual quality of the given image by considering the characteristics of the human visual system. However, it is possible tha…
Perceptual Image Quality Assessment with Transformers
Manri Cheon, Sung-Jun Yoon, Byungyeon Kang +1
In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task…
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…