English

NTIRE 2021 Challenge on Image Deblurring

Computer Vision and Pattern Recognition 2021-05-03 v1

Abstract

Motion blur is a common photography artifact in dynamic environments that typically comes jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on Image Deblurring. In this challenge report, we describe the challenge specifics and the evaluation results from the 2 competition tracks with the proposed solutions. While both the tracks aim to recover a high-quality clean image from a blurry image, different artifacts are jointly involved. In track 1, the blurry images are in a low resolution while track 2 images are compressed in JPEG format. In each competition, there were 338 and 238 registered participants and in the final testing phase, 18 and 17 teams competed. The winning methods demonstrate the state-of-the-art performance on the image deblurring task with the jointly combined artifacts.

Keywords

Cite

@article{arxiv.2104.14854,
  title  = {NTIRE 2021 Challenge on Image Deblurring},
  author = {Seungjun Nah and Sanghyun Son and Suyoung Lee and Radu Timofte and Kyoung Mu Lee},
  journal= {arXiv preprint arXiv:2104.14854},
  year   = {2021}
}

Comments

To be published in CVPR 2021 Workshop - NTIRE

R2 v1 2026-06-24T01:39:49.646Z