CVJun 7, 2021

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

arXiv:2106.03839v142 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of enhancing image quality from burst captures for photography and mobile applications, but it is incremental as it builds on existing challenge frameworks.

The paper reviewed the NTIRE 2021 challenge on burst super-resolution, where participants aimed to generate clean RGB images at 4x higher resolution from RAW noisy bursts, with top methods achieving new state-of-the-art 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 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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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