Aim 2020 challenge on efficient super-resolution: Methods and results

K Zhang, M Danelljan, Y Li, R Timofte, J Liu… - Computer Vision–ECCV …, 2020 - Springer
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with
focus on the proposed solutions and results. The challenge task was to super-resolve an …

NTIRE 2022 challenge on night photography rendering

E Ershov, A Savchik, D Shepelev… - Proceedings of the …, 2022 - openaccess.thecvf.com
This paper reviews the NTIRE 2022 challenge on night photography rendering. The
challenge solicited solutions that processed RAW camera images captured in night scenes …

Efficient image super-resolution using pixel attention

H Zhao, X Kong, J He, Y Qiao, C Dong - … 23–28, 2020, Proceedings, Part III …, 2020 - Springer
This work aims at designing a lightweight convolutional neural network for image super
resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective …

NTIRE 2024 restore any image model (RAIM) in the wild challenge

J Liang, R Timofte, Q Yi, S Liu, L Sun… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in
the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild …

NTIRE 2023 challenge on night photography rendering

A Shutova, E Ershov… - Proceedings of the …, 2023 - openaccess.thecvf.com
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 …

Efficient and accurate quantized image super-resolution on mobile NPUs, mobile AI & AIM 2022 challenge: report

A Ignatov, R Timofte, M Denna, A Younes… - European conference on …, 2022 - Springer
Image super-resolution is a common task on mobile and IoT devices, where one often needs
to upscale and enhance low-resolution images and video frames. While numerous solutions …

Real-time quantized image super-resolution on mobile npus, mobile ai 2021 challenge: Report

A Ignatov, R Timofte, M Denna… - Proceedings of the …, 2021 - openaccess.thecvf.com
Image super-resolution is one of the most popular computer vision problems with many
important applications to mobile devices. While many solutions have been proposed for this …

Real-time video super-resolution on smartphones with deep learning, mobile ai 2021 challenge: Report

A Ignatov, A Romero, H Kim… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Video super-resolution has recently become one of the most important mobile-related
problems due to the rise of video communication and streaming services. While many …

Reversed image signal processing and RAW reconstruction. AIM 2022 challenge report

MV Conde, R Timofte, Y Huang, J Peng… - … on Computer Vision, 2022 - Springer
Cameras capture sensor RAW images and transform them into pleasant RGB images,
suitable for the human eyes, using their integrated Image Signal Processor (ISP). Numerous …

Learned smartphone isp on mobile npus with deep learning, mobile ai 2021 challenge: Report

A Ignatov, CM Chiang, HK Kuo… - Proceedings of the …, 2021 - openaccess.thecvf.com
As the quality of mobile cameras starts to play a crucial role in modern smartphones, more
and more attention is now being paid to ISP algorithms used to improve various perceptual …