CVJun 18, 2024

NTIRE 2024 Challenge on Night Photography Rendering

arXiv:2406.13007v115 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of improving nighttime photo quality for mobile photography users, but it is incremental as it builds on a previous challenge with updated data and metrics.

The paper reviews the NTIRE 2024 challenge on night photography rendering, which aimed to process raw nighttime images into high-quality sRGB outputs, using mobile phone data and evaluating both quality and speed, with top solutions representing state-of-the-art performance.

This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, the challenge images were collected with a mobile phone and the speed of algorithms was also measured alongside the quality of their output. To evaluate the results, a sufficient number of viewers were asked to assess the visual quality of the proposed solutions, considering the subjective nature of the task. There were 2 nominations: quality and efficiency. Top 5 solutions in terms of output quality were sorted by evaluation time (see Fig. 1). The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering. More results can be found at https://nightimaging.org.

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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