Deep learning in pore scale imaging and modeling

Y Da Wang, MJ Blunt, RT Armstrong… - Earth-Science Reviews, 2021 - Elsevier
Pore-scale imaging and modeling has advanced greatly through the integration of Deep
Learning into the workflow, from image processing to simulating physical processes. In …

Ntire 2020 challenge on real-world image super-resolution: Methods and results

A Lugmayr, M Danelljan… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on
the participating methods and final results. The challenge addresses the real world setting …

Fine perceptive gans for brain mr image super-resolution in wavelet domain

S You, B Lei, S Wang, CK Chui… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Magnetic resonance (MR) imaging plays an important role in clinical and brain exploration.
However, limited by factors such as imaging hardware, scanning time, and cost, it is …

Fourier space losses for efficient perceptual image super-resolution

D Fuoli, L Van Gool, R Timofte - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Many super-resolution (SR) models are optimized for high performance only and therefore
lack efficiency due to large model complexity. As large models are often not practical in real …

Ntire 2020 challenge on spectral reconstruction from an rgb image

B Arad, R Timofte, O Ben-Shahar… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper reviews the second challenge on spectral reconstruction from RGB images, ie,
the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image …

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 …

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 …

Ntire 2020 challenge on nonhomogeneous dehazing

CO Ancuti, C Ancuti, FA Vasluianu… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images
(restoration of rich details in hazy image). We focus on the proposed solutions and their …

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 …

Perceptual extreme super-resolution network with receptive field block

T Shang, Q Dai, S Zhu, T Yang… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Abstract Perceptual Extreme Super-Resolution for single image is extremely difficult,
because the texture details of different images vary greatly. To tackle this difficulty, we …