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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 …
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 …
Contrastive learning for compact single image dehazing
Single image dehazing is a challenging ill-posed problem due to the severe information
degeneration. However, existing deep learning based dehazing methods only adopt clear …
degeneration. However, existing deep learning based dehazing methods only adopt clear …
Refusion: Enabling large-size realistic image restoration with latent-space diffusion models
This work aims to improve the applicability of diffusion models in realistic image restoration.
Specifically, we enhance the diffusion model in several aspects such as network …
Specifically, we enhance the diffusion model in several aspects such as network …
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 …
NTIRE 2023 challenge on image super-resolution (x4): Methods and results
This paper reviews the NTIRE 2023 challenge on image super-resolution (x4), focusing on
the proposed solutions and results. The task of image super-resolution (SR) is to generate a …
the proposed solutions and results. The task of image super-resolution (SR) is to generate a …
SCANet: Self-paced semi-curricular attention network for non-homogeneous image dehazing
The presence of non-homogeneous haze can cause scene blurring, color distortion, low
contrast, and other degradations that obscure texture details. Existing homogeneous …
contrast, and other degradations that obscure texture details. Existing homogeneous …
Perceiving and modeling density for image dehazing
In the real world, the degradation of images taken under haze can be quite complex, where
the spatial distribution of haze varies from image to image. Recent methods adopt deep …
the spatial distribution of haze varies from image to image. Recent methods adopt deep …
NTIRE 2023 challenge on image denoising: Methods and results
This paper reviews the NTIRE 2023 challenge on image denoising (sigma= 50) with a focus
on the proposed solutions and results. The aim is to obtain a network design capable to …
on the proposed solutions and results. The aim is to obtain a network design capable to …
NTIRE 2023 challenge on light field image super-resolution: Dataset, methods and results
In this report, we summarize the first NTIRE challenge on light field (LF) image super-
resolution (SR), which aims at super-resolving LF images under the standard bicubic …
resolution (SR), which aims at super-resolving LF images under the standard bicubic …