no code implementations • ECCV 2020 • Jaesung Rim, Haeyun Lee, Jucheol Won, Sunghyun Cho
To collect our dataset, we build an image acquisition system to simultaneously capture geometrically aligned pairs of blurred and sharp images, and develop a postprocessing method to produce high-quality ground truth images.
no code implementations • 1 Apr 2024 • Heemin Yang, Jaesung Rim, Seungyong Lee, Seung-Hwan Baek, Sunghyun Cho
To handle gyro error, GyroDeblurNet is equipped with two novel neural network blocks: a gyro refinement block and a gyro deblurring block.
no code implementations • 20 Dec 2023 • Jaesung Rim, Junyong Lee, Heemin Yang, Sunghyun Cho
We simultaneously capture a long exposure wide-angle image and ultra-wide burst images from a smartphone, and use the sharp burst to estimate blur kernels for deblurring the wide-angle image.
1 code implementation • ICCV 2023 • Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee
We minimize the photo-consistency loss on blurred image space and obtain the sharp radiance fields with camera trajectories that explain the blur of all images.
1 code implementation • CVPR 2023 • Sohyun Lee, Jaesung Rim, Boseung Jeong, GeonU Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak
We study human pose estimation in extremely low-light images.
1 code implementation • 17 Feb 2022 • Jaesung Rim, Geonung Kim, Jungeon Kim, Junyong Lee, Seungyong Lee, Sunghyun Cho
To this end, we present RSBlur, a novel dataset with real blurred images and the corresponding sharp image sequences to enable a detailed analysis of the difference between real and synthetic blur.
Ranked #1 on Deblurring on RSBlur (trained on synthetic)
1 code implementation • CVPR 2021 • Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, Seungyong Lee
We propose a novel end-to-end learning-based approach for single image defocus deblurring.
Ranked #3 on Image Defocus Deblurring on RealDOF