An overview on generative AI at scale with Edge-Cloud Computing

YC Wang, J Xue, C Wei… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
As a specific category of artificial intelligence (AI), generative artificial intelligence (GenAI)
generates new content that resembles what humans create. The rapid development of …

Going the extra mile in face image quality assessment: A novel database and model

S Su, H Lin, V Hosu, O Wiedemann… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
An accurate computational model for image quality assessment (IQA) benefits many vision
applications, such as image filtering, image processing, and image generation. Although the …

Synthetic Image Generation Using Deep Learning: A Systematic Literature Review

A Zulfiqar, S Muhammad Daudpota… - Computational …, 2024 - Wiley Online Library
The advent of deep neural networks and improved computational power have brought a
revolutionary transformation in the fields of computer vision and image processing. Within …

Perceptual video quality prediction emphasizing chroma distortions

LH Chen, CG Bampis, Z Li, J Sole… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Measuring the quality of digital videos viewed by human observers has become a common
practice in numerous multimedia applications, such as adaptive video streaming, quality …

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

X Liu, X Min, G Zhai, C Li, T Kou… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content
Challenge which will be held in conjunction with the New Trends in Image Restoration and …

Learning to distort images using generative adversarial networks

LH Chen, CG Bampis, Z Li… - IEEE Signal Processing …, 2020 - ieeexplore.ieee.org
Modeling image and video distortions is an important, but difficult problem of great
consequence to numerous and diverse image processing and computer vision applications …

Fast video visual quality and resolution improvement using SR-UNet

F Vaccaro, M Bertini, T Uricchio… - Proceedings of the 29th …, 2021 - dl.acm.org
In this paper, we address the problem of real-time video quality enhancement, considering
both frame super-resolution and compression artifact-removal. The first operation increases …

Perceptual quality improvement in videoconferencing using keyframes-based gan

L Agnolucci, L Galteri, M Bertini… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In the latest years, videoconferencing has taken a fundamental role in interpersonal
relations, both for personal and business purposes. Lossy video compression algorithms are …

A NoGAN approach for image and video restoration and compression artifact removal

F Mameli, M Bertini, L Galteri… - 2020 25th International …, 2021 - ieeexplore.ieee.org
Lossy image and video compression algorithms introduce several different types of visual
artifacts that reduce the visual quality of the compressed media, and the higher the …

A no-reference perceptual image quality assessment database for learned image codecs

J Zhang, Z Fang, L Yu - Journal of Visual Communication and Image …, 2022 - Elsevier
The drastic growth of research in image compression, especially deep learning-based
image compression techniques, poses new challenges to objective image quality …