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 …

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 …

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 …

Ntire 2020 challenge on real image denoising: Dataset, methods and results

A Abdelhamed, M Afifi, R Timofte… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the
newly introduced dataset, the proposed methods and their results. The challenge is a new …

NTIRE 2021 challenge on quality enhancement of compressed video: Methods and results

R Yang - Proceedings of the IEEE/CVF Conference on …, 2021 - openaccess.thecvf.com
This paper reviews the first NTIRE challenge on quality enhancement of compressed video,
with focus on proposed solutions and results. In this challenge, the new Large-scale Diverse …

Ntire 2020 challenge on perceptual extreme super-resolution: Methods and results

K Zhang, S Gu, R Timofte - … of the IEEE/CVF conference on …, 2020 - openaccess.thecvf.com
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with
focus on proposed solutions and results. The challenge task was to super-resolve an input …

Spatio-temporal detail information retrieval for compressed video quality enhancement

D Luo, M Ye, S Li, C Zhu, X Li - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The past few years have witnessed the great success of multi-frame quality enhancement for
compressed video. Although the existing methods based on deformable alignment have …

Ntire 2020 challenge on image demoireing: Methods and results

S Yuan, R Timofte, A Leonardis… - Proceedings of the …, 2020 - openaccess.thecvf.com
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in
Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR …

Boosting the performance of video compression artifact reduction with reference frame proposals and frequency domain information

Y Xu, M Zhao, J Liu, X Zhang, L Gao… - Proceedings of the …, 2021 - openaccess.thecvf.com
Many deep learning based video compression artifact removal algorithms have been
proposed to recover high-quality videos from low-quality compressed videos. Recently …

Ntire 2020 challenge on image and video deblurring

S Nah, S Son, R Timofte… - Proceedings of the IEEE …, 2020 - openaccess.thecvf.com
Motion blur is one of the most common degradation artifacts in dynamic scene photography.
This paper reviews the NTIRE 2020 Challenge on Image and Video Deblurring. In this …