We aim at advancing blind image quality assessment (BIQA), which predicts the human
perception of image quality without any reference information. We develop a general and …

Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality
of a single image, whose performance has been improved by deep learning-based methods …

We present DiffBIR, a general restoration pipeline that could handle different blind image
restoration tasks in a unified framework. DiffBIR decouples blind image restoration problem …

Owe to the powerful generative priors the pre-trained text-to-image (T2I) diffusion models
have become increasingly popular in solving the real-world image super-resolution …

Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed
remarkable progress with deep neural networks. Inspired by the characteristics of the human …

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 …

Abstract We introduce SUPIR (Scaling-UP Image Restoration) a groundbreaking image
restoration method that harnesses generative prior and the power of model scaling up …

In recent years the rapid development of Artificial Intelligence (AI) has facilitated the
widespread use of AI-Generated Images (AIGIs) a subset of Artificial Intelligence Generated …

Physical world adversarial attack is a highly practical and threatening attack, which fools real
world deep learning systems by generating conspicuous and maliciously crafted real world …

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 …