NTIRE 2023 challenge on efficient super-resolution: Methods and results
This paper reviews the NTIRE 2023 challenge on efficient single-image super-resolution
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
with a focus on the proposed solutions and results. The aim of this challenge is to devise a …
The ninth NTIRE 2024 efficient super-resolution challenge report
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this …
Real-time 4k super-resolution of compressed AVIF images. AIS 2024 challenge survey
This paper introduces a novel benchmark for efficient image upscaling as part of the AIS
2024 Real-Time Image Super-Resolution (RTSR) Challenge which aims to upscale …
2024 Real-Time Image Super-Resolution (RTSR) Challenge which aims to upscale …
[PDF][PDF] Large Kernel Frequency-enhanced Network for Efficient Single Image Super-Resolution
J Chen, C Duanmu, H Long - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
In recent years, there has been significant progress in efficient and lightweight image super-
resolution, due in part to the design of several powerful and lightweight attention …
resolution, due in part to the design of several powerful and lightweight attention …
Multi-depth branch network for efficient image super-resolution
A longstanding challenge in Super-Resolution (SR) is how to efficiently enhance high-
frequency details in Low-Resolution (LR) images while maintaining semantic coherence …
frequency details in Low-Resolution (LR) images while maintaining semantic coherence …
See More Details: Efficient Image Super-Resolution by Experts Mining
Reconstructing high-resolution (HR) images from low-resolution (LR) inputs poses a
significant challenge in image super-resolution (SR). While recent approaches have …
significant challenge in image super-resolution (SR). While recent approaches have …
Target-oriented domain adaptation for infrared image super-resolution
Recent efforts have explored leveraging visible light images to enrich texture details in
infrared (IR) super-resolution. However, this direct adaptation approach often becomes a …
infrared (IR) super-resolution. However, this direct adaptation approach often becomes a …
Dwa: Differential wavelet amplifier for image super-resolution
Abstract This work introduces Differential Wavelet Amplifier (DWA), a drop-in module for
wavelet-based image Super-Resolution (SR). DWA invigorates an approach recently …
wavelet-based image Super-Resolution (SR). DWA invigorates an approach recently …
Efficient blind super-resolution imaging via adaptive degradation-aware estimation
Single image super-resolution (SISR) has achieved prominent success based on deep
learning. However, most SISR methods based on the specific degradation pattern, eg …
learning. However, most SISR methods based on the specific degradation pattern, eg …
[HTML][HTML] A convolutional neural network-based method for the generation of super-resolution 3D models from clinical CT images
Y Zhou, E Klintström, B Klintström, SJ Ferguson… - Computer Methods and …, 2024 - Elsevier
Background and objective The accurate evaluation of bone mechanical properties is
essential for predicting fracture risk based on clinical computed tomography (CT) images …
essential for predicting fracture risk based on clinical computed tomography (CT) images …