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 …

Image restoration (IR) has been an indispensable and challenging task in the low-level
vision field, which strives to improve the subjective quality of images distorted by various …

Diffusion models have achieved promising results in image restoration tasks, yet suffer from
time-consuming, excessive computational resource consumption, and unstable restoration …

This paper presents a stochastic differential equation (SDE) approach for general-purpose
image restoration. The key construction consists in a mean-reverting SDE that transforms a …

In this paper, we summarize the 2nd NTIRE challenge on stereo image super-resolution
(SR) with a focus on new solutions and results. The task of the challenge is to super-resolve …

Inversion by Direct Iteration (InDI) is a new formulation for supervised image restoration that
avoids the so-called" regression to the mean" effect and produces more realistic and …

We present the new Bokeh Effect Transformation Dataset (BETD), and review the proposed
solutions for this novel task at the NTIRE 2023 Bokeh Effect Transformation Challenge …

Diffusion models have achieved state-of-the-art results on many modalities including
images, speech, and video. However, existing models are not tailored to support remote …

This paper reviews the NTIRE 2024 low light image enhancement challenge, highlighting
the proposed solutions and results. The aim of this challenge is to discover an effective …

Conventional image outpainting methods usually treat unobserved areas as unknown and
extend the scene only in terms of semantic consistency thus overlooking the hidden …