NTIRE 2021 Challenge on Image Deblurring

Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee

CVPRW 2021 pp. 149-165

doi:10.1109/CVPRW53098.2021.00025 /cvprw/2021/nah2021cvprw-ntire/

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.

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Cite

Text

Nah et al. "NTIRE 2021 Challenge on Image Deblurring." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021. doi:10.1109/CVPRW53098.2021.00025

Markdown

[Nah et al. "NTIRE 2021 Challenge on Image Deblurring." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2021.](https://mlanthology.org/cvprw/2021/nah2021cvprw-ntire/) doi:10.1109/CVPRW53098.2021.00025

BibTeX

@inproceedings{nah2021cvprw-ntire,
  title     = {{NTIRE 2021 Challenge on Image Deblurring}},
  author    = {Nah, Seungjun and Son, Sanghyun and Lee, Suyoung and Timofte, Radu and Lee, Kyoung Mu},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2021},
  pages     = {149-165},
  doi       = {10.1109/CVPRW53098.2021.00025},
  url       = {https://mlanthology.org/cvprw/2021/nah2021cvprw-ntire/}
}