mlsanityData to 7 Oct 2026

NTIRE 2024 Challenge on Night Photography Rendering

arXiv 2406.13007 ↗First posted 18 Jun 2024cs.CVcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 16 of its 50 references that are in the map. First posted on arXiv 18 Jun 2024.

Builds on

16 of 50 references.

References · 16

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4 more
  1. 2024NTIRE 2024 Quality Assessment of AI-Generated Content Challengecited by 20
  2. 2024NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challengecited by 9
  3. 2024Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Surveycited by 7
  4. 2024Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Surveycited by 6

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 1; 2025: 2; 2026: 1.

4 papers.