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

• URL: http://arxiv.org/abs/2106.03839v1
• Date: Mon, 7 Jun 2021 17:55:28 GMT
• Title: NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
• Authors: Goutam Bhat and Martin Danelljan and Radu Timofte and Kazutoshi Akita and Wooyeong Cho and Haoqiang Fan and Lanpeng Jia and Daeshik Kim and Bruno Lecouat and Youwei Li and Shuaicheng Liu and Ziluan Liu and Ziwei Luo and Takahiro Maeda and Julien Mairal and Christian Micheloni and Xuan Mo and Takeru Oba and Pavel Ostyakov and Jean Ponce and Sanghyeok Son and Jian Sun and Norimichi Ukita and Rao Muhammad Umer and Youliang Yan and Lei Yu and Magauiya Zhussip and Xueyi Zou
• Abstract summary: Given a 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. The top-performing methods set a new state-of-the-art for the burst super-resolution task.
• Score: 116.77874476501913
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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