Aim 2020 challenge on efficient super-resolution: Methods and results
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 …
focus on the proposed solutions and results. The challenge task was to super-resolve an …
NTIRE 2022 challenge on night photography rendering
This paper reviews the NTIRE 2022 challenge on night photography rendering. The
challenge solicited solutions that processed RAW camera images captured in night scenes …
challenge solicited solutions that processed RAW camera images captured in night scenes …
Efficient image super-resolution using pixel attention
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 …
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
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 …
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 …
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
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 …
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
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 …
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
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 …
problems due to the rise of video communication and streaming services. While many …
Reversed image signal processing and RAW reconstruction. AIM 2022 challenge report
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 …
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
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 …
and more attention is now being paid to ISP algorithms used to improve various perceptual …