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 …

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 …

Recently, convolutional networks have achieved remarkable development in remote
sensing image (RSI) super-resolution (SR) by minimizing the regression objectives, eg, MSE …

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 …

Diffusion models (DMs) have recently been introduced in image deblurring and exhibited
promising performance, particularly in terms of details reconstruction. However, the diffusion …

Text-based diffusion models have exhibited remarkable success in generation and editing
showing great promise for enhancing visual content with their generative prior. However …

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

In this paper, we introduce a Multimodal Large Language Model-based Generation
Assistant (LLMGA), leveraging the vast reservoir of knowledge and proficiency in reasoning …

Image inpainting aims to generate realistic content for missing regions of an image. Existing
methods often struggle to produce visually coherent content for missing regions of an image …

Image restoration is a critical task in low-level computer vision, aiming to restore high-quality
images from degraded inputs. Various models, such as convolutional neural networks …