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 …
NTIRE 2024 challenge on bracketing image restoration and enhancement: Datasets methods and results
Low-light photography presents significant challenges. Multi-image processing methods
have made numerous attempts to obtain high-quality photos yet remain unsatisfactory …
have made numerous attempts to obtain high-quality photos yet remain unsatisfactory …
NTIRE 2024 image shadow removal challenge report
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 …
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
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 …
Homogeneous Dehazing. Innovative methods were introduced and tested using a new …
A New Dataset and Framework for Real-World Blurred Images Super-Resolution
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 …
general images. However, we find that the efficacy of recent methods obviously diminishes …
EnsIR: An Ensemble Algorithm for Image Restoration via Gaussian Mixture Models
Image restoration has experienced significant advancements due to the development of
deep learning. Nevertheless, it encounters challenges related to ill-posed problems …
deep learning. Nevertheless, it encounters challenges related to ill-posed problems …
Prompthsi: Universal hyperspectral image restoration framework for composite degradation
Recent developments in All-in-One (AiO) RGB image restoration and prompt learning have
enabled the representation of distinct degradations through prompts, allowing degraded …
enabled the representation of distinct degradations through prompts, allowing degraded …
HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion
Hyperspectral image (HSI) fusion addresses the challenge of reconstructing High-
Resolution HSIs (HR-HSIs) from High-Resolution Multispectral images (HR-MSIs) and Low …
Resolution HSIs (HR-HSIs) from High-Resolution Multispectral images (HR-MSIs) and Low …
MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
We present MambaCSR, a simple but effective framework based on Mamba for the
challenging compressed image super-resolution (CSR) task. Particularly, the scanning …
challenging compressed image super-resolution (CSR) task. Particularly, the scanning …
Lightweight Prompt Learning Implicit Degradation Estimation Network for Blind Super Resolution
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 …
resolution (LR) counterpart under the assumption of unknown degradations. Many existing …