NTIRE 2021 challenge on image deblurring
Motion blur is a common photography artifact in dynamic environments that typically comes
jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on …
jointly with the other types of degradation. This paper reviews the NTIRE 2021 Challenge on …
[PDF][PDF] NTIRE 2021 nonhomogeneous dehazing challenge report
This work reviews the results of the NTIRE 2021 Challenge on Non-Homogeneous
Dehazing. The proposed techniques and their results have been evaluated on a novel …
Dehazing. The proposed techniques and their results have been evaluated on a novel …
Restormer: Efficient transformer for high-resolution image restoration
Since convolutional neural networks (CNNs) perform well at learning generalizable image
priors from large-scale data, these models have been extensively applied to image …
priors from large-scale data, these models have been extensively applied to image …
NTIRE 2022 challenge on perceptual image quality assessment
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment
(IQA), held in conjunction with the New Trends in Image Restoration and Enhancement …
(IQA), held in conjunction with the New Trends in Image Restoration and Enhancement …
NTIRE 2021 challenge on high dynamic range imaging: Dataset, methods and results
E Pérez-Pellitero, S Catley-Chandar… - Proceedings of the …, 2021 - openaccess.thecvf.com
This paper reviews the first challenge on high-dynamic range (HDR) imaging that was part
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in …
Mipi 2022 challenge on under-display camera image restoration: Methods and results
Developing and integrating advanced image sensors with novel algorithms in camera
systems is prevalent with the increasing demand for computational photography and …
systems is prevalent with the increasing demand for computational photography and …
NTIRE 2021 learning the super-resolution space challenge
A Lugmayr, M Danelljan… - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
This paper reviews the NTIRE 2021 challenge on learning the super-Resolution space. It
focuses on the participating methods and final results. The challenge addresses the problem …
focuses on the participating methods and final results. The challenge addresses the problem …
NTIRE 2021 challenge on burst super-resolution: Methods and results
This paper reviews the NTIRE2021 challenge on burst super-resolution. Given a RAW noisy
burst as input, the task in the challenge was to generate a clean RGB image with 4 times …
burst as input, the task in the challenge was to generate a clean RGB image with 4 times …
Learning to reduce defocus blur by realistically modeling dual-pixel data
Recent work has shown impressive results on data-driven defocus deblurring using the two-
image views available on modern dual-pixel (DP) sensors. One significant challenge in this …
image views available on modern dual-pixel (DP) sensors. One significant challenge in this …
NTIRE 2021 multi-modal aerial view object classification challenge
In this paper, we introduce the first Challenge on Multimodal Aerial View Object
Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This …
Classification (MAVOC) in conjunction with the NTIRE 2021 workshop at CVPR. This …