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

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 usin...

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Hauptverfasser: Bhat, Goutam, Danelljan, Martin, Timofte, Radu, Akita, Kazutoshi, Cho, Wooyeong, Fan, Haoqiang, Jia, Lanpeng, Kim, Daeshik, Lecouat, Bruno, Li, Youwei, Liu, Shuaicheng, Liu, Ziluan, Luo, Ziwei, Maeda, Takahiro, Mairal, Julien, Micheloni, Christian, Mo, Xuan, Oba, Takeru, Ostyakov, Pavel, Ponce, Jean, Son, Sanghyeok, Sun, Jian, Ukita, Norimichi, Umer, Rao Muhammad, Yan, Youliang, Yu, Lei, Zhussip, Magauiya, Zou, Xueyi
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Sprache:eng
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Zusammenfassung: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.
DOI:10.48550/arxiv.2106.03839