The ninth NTIRE 2024 efficient super-resolution challenge report

B Ren, Y Li, N Mehta, R Timofte, H Yu… - Proceedings of the …, 2024 - openaccess.thecvf.com
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 …

NTIRE 2024 challenge on bracketing image restoration and enhancement: Datasets methods and results

Z Zhang, S Zhang, R Wu, W Zuo… - Proceedings of the …, 2024 - openaccess.thecvf.com
Low-light photography presents significant challenges. Multi-image processing methods
have made numerous attempts to obtain high-quality photos yet remain unsatisfactory …

NTIRE 2024 image shadow removal challenge report

FA Vasluianu, T Seizinger, Z Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
This work reviews the results of the NTIRE 2024 Challenge on Shadow Removal. Building
on the last year edition the current challenge was organized in two tracks with a track …

NTIRE 2024 dense and non-homogeneous dehazing challenge report

CO Ancuti, C Ancuti, FA Vasluianu… - Proceedings of the …, 2024 - openaccess.thecvf.com
This study examines the results of the NTIRE 2024 Challenge on Dense and Non-
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …

A New Dataset and Framework for Real-World Blurred Images Super-Resolution

R Qin, M Sun, C Zhou, B Wang - European Conference on Computer …, 2024 - Springer
Abstract Recent Blind Image Super-Resolution (BSR) methods have shown proficiency in
general images. However, we find that the efficacy of recent methods obviously diminishes …

EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models

S Sun, W Ren, Z Liu, H Park… - Advances in Neural …, 2025 - proceedings.neurips.cc
Image restoration has experienced significant advancements due to the development of
deep learning. Nevertheless, it encounters challenges related to ill-posed problems …

Prompthsi: Universal hyperspectral image restoration framework for composite degradation

CM Lee, CH Cheng, YF Lin, YC Cheng… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent developments in All-in-One (AiO) RGB image restoration and prompt learning have
enabled the representation of distinct degradations through prompts, allowing degraded …

HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion

CM Lee, YF Lin, YH Ho, LW Kang, CC Hsu - arxiv preprint arxiv …, 2025 - arxiv.org
Hyperspectral image (HSI) fusion addresses the challenge of reconstructing High-
Resolution HSIs (HR-HSIs) from High-Resolution Multispectral images (HR-MSIs) and Low …

MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs

Y Ren, X Li, M Guo, B Li, S Zhao, Z Chen - arxiv preprint arxiv:2408.11758, 2024 - arxiv.org
We present MambaCSR, a simple but effective framework based on Mamba for the
challenging compressed image super-resolution (CSR) task. Particularly, the scanning …

Lightweight Prompt Learning Implicit Degradation Estimation Network for Blind Super Resolution

AH Khan, C Micheloni, N Martinel - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Blind image super-resolution (SR) aims to recover a high-resolution (HR) image from its low-
resolution (LR) counterpart under the assumption of unknown degradations. Many existing …