DeepAI
Log In Sign Up

NTIRE 2021 Challenge on Image Deblurring

04/30/2021
by   Seungjun Nah, et al.
0

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.

READ FULL TEXT

page 4

page 5

page 6

page 7

page 8

page 9

page 10

05/04/2020

NTIRE 2020 Challenge on Image and Video Deblurring

Motion blur is one of the most common degradation artifacts in dynamic s...
10/02/2020

AIM 2020 Challenge on Image Extreme Inpainting

This paper reviews the AIM 2020 challenge on extreme image inpainting. T...
04/27/2021

NTIRE 2021 Depth Guided Image Relighting Challenge

Image relighting is attracting increasing interest due to its various ap...
11/08/2019

AIM 2019 Challenge on Image Demoireing: Methods and Results

This paper reviews the first-ever image demoireing challenge that was pa...
11/06/2019

AIM 2019 Challenge on Image Demoireing: Dataset and Study

This paper introduces a novel dataset, called LCDMoire, which was create...
09/27/2020

AIM 2020: Scene Relighting and Illumination Estimation Challenge

We review the AIM 2020 challenge on virtual image relighting and illumin...
10/02/2018

An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation

The ACM Recommender Systems Challenge 2018 focused on the task of automa...