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Andrey Ignatov

3 accepted papers

2024

Real-World Mobile Image Denoising Dataset with Efficient Baselines

CVPR 2024poster

The recently increased role of mobile photography has raised the standards of on-device photo processing tremendously. Despite the latest advancements in camera hardware the mobile camera sensor area cannot be increased significantly due to physical constraints leading to a pixel size of 0.6--2.0 \m…

2023

SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking

ICCV 2023poster

Smartphone photography is becoming increasingly popular, but fitting high-performing camera systems within the given space limitations remains a challenge for manufacturers. As a result, powerful mobile camera systems are in high demand. Despite recent progress in computer vision, camera system qual…

Cited by 3PDFcodeScholar
2017

DSLR-Quality Photos on Mobile Devices With Deep Convolutional Networks

ICCV 2017poster

Despite a rapid rise in the quality of built-in smartphone cameras, their physical limitations - small sensor size, compact lenses and the lack of specific hardware, - impede them to achieve the quality results of DSLR cameras. In this work we present an end-to-end deep learning approach that bridge…

Cited by 693PDFcodeScholar