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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results

7 June 2021
Goutam Bhat
Martin Danelljan
Radu Timofte
Kazutoshi Akita
Wooyeong Cho
Haoqiang Fan
Lanpeng Jia
Daeshik Kim
Bruno Lecouat
Youwei Li
Shuaicheng Liu
Ziluan Liu
Ziwei Luo
Takahiro Maeda
Julien Mairal
C. Micheloni
Xuan Mo
Takeru Oba
Pavel Ostyakov
Jean Ponce
Sang-wook Son
Jian-jun Sun
Norimichi Ukita
Rao Muhammad Umer
Youliang Yan
Lei Yu
Magauiya Zhussip
X. Zou
    SupR
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Abstract

This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating on synthetically generated data, and Track 2 using real-world bursts from mobile camera. In the final testing phase, 6 teams submitted results using a diverse set of solutions. The top-performing methods set a new state-of-the-art for the burst super-resolution task.

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