181 citations · 181 across the 10 of their papers we have counts for
10 papers
Dynamic Exposure Burst Image Restoration
Woohyeok Kim, Jaesung Rim, Daeyeon Kim +1
Burst image restoration aims to reconstruct a high-quality image from burst images, which are typically captured using manually designed exposure settings. Although these exposure…
Efficient Real-World Deblurring using Single Images: AIM 2025 Challenge Report
Daniel Feijoo, Paula Garrido-Mellado, Marcos V. Conde +4
This paper reviews the AIM 2025 Efficient Real-World Deblurring using Single Images Challenge, which aims to advance in efficient real-blur restoration. The challenge is based on a…
Towards Unified Image Deblurring using a Mixture-of-Experts Decoder
Daniel Feijoo, Paula Garrido-Mellado, Jaesung Rim +2
Image deblurring, removing blurring artifacts from images, is a fundamental task in computational photography and low-level computer vision. Existing approaches focus on specialize…
Burst Image Super-Resolution with Base Frame Selection
Sanghyun Kim, Min Jung Lee, Woohyeok Kim +4
Burst image super-resolution has been a topic of active research in recent years due to its ability to obtain a high-resolution image by using complementary information between mul…
Gyro-based Neural Single Image Deblurring
Heemin Yang, Jaesung Rim, Seungyong Lee +2
In this paper, we present GyroDeblurNet, a novel single-image deblurring method that utilizes a gyro sensor to resolve the ill-posedness of image deblurring. The gyro sensor provid…
Deep Hybrid Camera Deblurring for Smartphone Cameras
Jaesung Rim, Junyong Lee, Heemin Yang +1
Mobile cameras, despite their significant advancements, still have difficulty in low-light imaging due to compact sensors and lenses, leading to longer exposures and motion blur. T…
ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images
Dongwoo Lee, Jeongtaek Oh, Jaesung Rim +2
We present ExBluRF, a novel view synthesis method for extreme motion blurred images based on efficient radiance fields optimization. Our approach consists of two main components: 6…
Human Pose Estimation in Extremely Low-Light Conditions
Sohyun Lee, Jaesung Rim, Boseung Jeong +5
We study human pose estimation in extremely low-light images. This task is challenging due to the difficulty of collecting real low-light images with accurate labels, and severely…
Realistic Blur Synthesis for Learning Image Deblurring
Jaesung Rim, Geonung Kim, Jungeon Kim +3
Training learning-based deblurring methods demands a tremendous amount of blurred and sharp image pairs. Unfortunately, existing synthetic datasets are not realistic enough, and de…
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Junyong Lee, Hyeongseok Son, Jaesung Rim +2
We propose a novel end-to-end learning-based approach for single image defocus deblurring. The proposed approach is equipped with a novel Iterative Filter Adaptive Network (IFAN) t…