I am a researcher in 2D computer vision, especially Real-Time Super-Resolution and Video Frame Interpolation. I also interested in Image & Video Restoration, Generative AI. I received my Ph.D from the University of Seoul in 2024 where I was advised by Yong Han Kim.
we propose a Motion Complexity Estimation Network (MCENet) to generate a Motion Complexity Map (MCM) that can estimate the motion complexity of each region.
we propose CASR, an image super-resolution network that transforms compressed low-resolution images into 4K images in real-time.
we propose a lightweight real-time image super-resolution network for 4K images.
we propose a VFI network called the Textural Detail Preservation Network that can preserve textural details in videos.
we introduced a skip connection layer by directly concatenating a low-resolution input image with an intermediate feature map