Image inpainting based on deep learning: A review
X Zhang, D Zhai, T Li, Y Zhou, Y Lin - Information Fusion, 2023 - Elsevier
Image inpainting is an important research direction in the study of computer vision, and is
widely used in image editing and photo inpainting etc. Traditional image inpainting …
widely used in image editing and photo inpainting etc. Traditional image inpainting …
Musiq: Multi-scale image quality transformer
Image quality assessment (IQA) is an important research topic for understanding and
improving visual experience. The current state-of-the-art IQA methods are based on …
improving visual experience. The current state-of-the-art IQA methods are based on …
Maniqa: Multi-dimension attention network for no-reference image quality assessment
Abstract No-Reference Image Quality Assessment (NR-IQA) aims to assess the perceptual
quality of images in accordance with human subjective perception. Unfortunately, existing …
quality of images in accordance with human subjective perception. Unfortunately, existing …
Exploring clip for assessing the look and feel of images
Measuring the perception of visual content is a long-standing problem in computer vision.
Many mathematical models have been developed to evaluate the look or quality of an …
Many mathematical models have been developed to evaluate the look or quality of an …
Blind image quality assessment via vision-language correspondence: A multitask learning perspective
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 …
perception of image quality without any reference information. We develop a general and …
No-reference image quality assessment via transformers, relative ranking, and self-consistency
SA Golestaneh, S Dadsetan… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract The goal of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
perceptual image quality in accordance with subjective evaluations, it is a complex and …
perceptual image quality in accordance with subjective evaluations, it is a complex and …
Underwater image enhancement quality evaluation: Benchmark dataset and objective metric
Due to the attenuation and scattering of light by water, there are many quality defects in raw
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …
Image quality assessment using contrastive learning
PC Madhusudana, N Birkbeck, Y Wang… - … on Image Processing, 2022 - ieeexplore.ieee.org
We consider the problem of obtaining image quality representations in a self-supervised
manner. We use prediction of distortion type and degree as an auxiliary task to learn …
manner. We use prediction of distortion type and degree as an auxiliary task to learn …
NTIRE 2023 challenge on night photography rendering
A Shutova, E Ershov… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents a review of the NTIRE 2023 challenge on night photography rendering.
The goal of the challenge was to find solutions that process raw camera images taken in …
The goal of the challenge was to find solutions that process raw camera images taken in …
Vila: Learning image aesthetics from user comments with vision-language pretraining
Assessing the aesthetics of an image is challenging, as it is influenced by multiple factors
including composition, color, style, and high-level semantics. Existing image aesthetic …
including composition, color, style, and high-level semantics. Existing image aesthetic …