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RGB Photo Enhancement with Deep Learning on Smartphone GPUs: Mobile AI 2026 Challenge Report — arXiv:2611.05024

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.05024
License (as archived): CC0-1.0
Archived: 2026-11-04T21:40:18.398Z
SHA-256 of the archived text: 7283689606d84bfcde6d4ccf6107ad4cc353296f4e144901ec3bcfc83c56b248
Stable URL of this page: https://metraipolis.com/documento/dc_0106897ceb4e

How to cite

RGB Photo Enhancement with Deep Learning on Smartphone GPUs: Mobile AI 2026 Challenge Report — arXiv:2611.05024 — arXiv (en), https://arxiv.org/abs/2611.05024 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_0106897ceb4e (Metraipolis archive dc_0106897ceb4e, sha256 7283689606d84bfcde6d4ccf6107ad4cc353296f4e144901ec3bcfc83c56b248)

BibTeX

@misc{dc0106897ceb4e,
  title = {RGB Photo Enhancement with Deep Learning on Smartphone GPUs: Mobile AI 2026 Challenge Report — arXiv:2611.05024},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.05024},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_0106897ceb4e; sha256 7283689606d84bfcde6d4ccf6107ad4cc353296f4e144901ec3bcfc83c56b248},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.05024. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

On-device RGB photo enhancement is a popular task that is needed for quality improvement of photos captured with mobile devices as well as for retouching of images acquired through other sources. This creates a need for efficient deep learning models for this problem that are not only performant but can also be deployed on constrained mobile hardware. In this Mobile AI challenge, we address this problem and propose participants to design fast solutions that can perform comprehensive enhancement of RGB photos while running on popular smartphone GPUs from Qualcomm and Arm. For this, the participants were provided with a large-scale DPED dataset consisting of RGB image pairs captured with an old iPhone 3GS smartphone and a professional Canon 70D DSLR camera. The runtime of all models was evaluated on the Snapdragon 8 Elite Gen 5 and Dimensity 9500 chipsets with the Adreno and Mali GPUs, respectively. Top solutions proposed in this challenge are able to enhance Full HD resolution RGB images on both platforms under 300 milliseconds. A comprehensive description of the models developed in the challenge is provided in this paper.

Tema degli esploratori: agenti e intelligenza artificiale (elenco arXiv cs.AI, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV) ; Artificial Intelligence (cs.AI).
Pagina del lavoro: https://arxiv.org/abs/2611.05024 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-04T21:35:49.702Z dalla pagina https://arxiv.org/list/cs.AI/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).