This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. 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. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. 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/
Shutova, A., Ershov, E., Perevozchikov, G., Ermakov, I., Banic, N., Timofte, R., et al. (2023). NTIRE 2023 Challenge on Night Photography Rendering. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (pp.1982-1993). IEEE Computer Society [10.1109/CVPRW59228.2023.00192].
NTIRE 2023 Challenge on Night Photography Rendering
Zini S.;Rota C.;Buzzelli M.;Bianco S.;Schettini R.;
2023
Abstract
This paper presents a review of the NTIRE 2023 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions conditions, and thereby produce a photo-quality output images in the standard RGB (sRGB) space. Unlike the previous year's competition, participants were not provided with a large training dataset for the target sensor. Instead, this time they were given images of a color checker illuminated by a known light source. 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. The highest ranking solutions were further ranked by Richard Collins, a renowned photographer. 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/
| File | Dimensione | Formato | |
|---|---|---|---|
|
Shutova-2023-CVPRW 2023-AAM.pdf
accesso aperto
Tipologia di allegato:
Author’s Accepted Manuscript, AAM (Post-print)
Licenza:
Altro
Dimensione
7.09 MB
Formato
Adobe PDF
|
7.09 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
