In this paper we review the NTIRE 2024 challenge on Restore Any Image Model (RAIM) in
the Wild. The RAIM challenge constructed a benchmark for image restoration in the wild …

Despite substantial progress all-in-one image restoration (IR) grapples with persistent
challenges in handling intricate real-world degradations. This paper introduces MPerceiver …

Existing super-resolution (SR) models primarily focus on restoring local texture details often
neglecting the global semantic information within the scene. This oversight can lead to the …

Diffusion models have achieved remarkable progress in generative modelling, particularly in
enhancing image quality to conform to human preferences. Recently, these models have …

Universal image restoration is a practical and potential computer vision task for real-world
applications. The main challenge of this task is handling the different degradation …

The recent advent of diffusion models has led to significant progress in solving inverse
problems, leveraging these models as effective generative priors. Nonetheless, challenges …

Abstract We present MoE-DiffIR, an innovative universal compressed image restoration
(CIR) method with task-customized diffusion priors. This intends to handle two pivotal …

Underwater image enhancement (UIE) is a challenging research task in the field of
computer vision. Although hundreds of UIE algorithms have been proposed, a …

Image restoration has always been a cutting-edge topic in the academic and industrial fields
of computer vision. Since degradation signals are often random and diverse," all-in-one" …

This paper presents a versatile image-to-image visual assistant, PixWizard, designed for
image generation, manipulation, and translation based on free-from language instructions …