Kinam Kwon — accepted AI-conference papers

2024

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization

Insoo Kim, Jae Seok Choi, Geonseok Seo, Kinam Kwon, Jinwoo Shin, Hyong-Euk Lee

CVPR 2024poster

As recent advances in mobile camera technology have enabled the capability to capture high-resolution images such as 4K images the demand for an efficient deblurring model handling large motion has increased. In this paper we discover that the image residual errors i.e. blur-sharp pixel differences…

Cited by 5 Source ↗PDF ↗Scholar ↗

2021

Controllable Image Restoration for Under-Display Camera in Smartphones

Kinam Kwon, Eunhee Kang, Sangwon Lee, Su-Jin Lee, Hyong-Euk Lee, ByungIn Yoo +1

CVPR 2021poster

Under-display camera (UDC) technology is essential for full-screen display in smartphones and is achieved by removing the concept of drilling holes on display. However, this causes inevitable image degradation in the form of spatially variant blur and noise because of the opaque display in front of…

Cited by 32 PDF ↗Scholar ↗