A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?

C Zhang, C Zhang, S Zheng, Y Qiao, C Li… - arXiv preprint arXiv …, 2023 - arxiv.org
As ChatGPT goes viral, generative AI (AIGC, aka AI-generated content) has made headlines
everywhere because of its ability to analyze and create text, images, and beyond. With such …

Reference-Based Multi-Stage Progressive Restoration for Multi-Degraded Images

Y Zhang, Q Yang, DM Chandler… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Image restoration (IR) via deep learning has been vigorously studied in recent years.
However, due to the ill-posed nature of the problem, it is challenging to recover the high …

Joint artifact correction and super-resolution of image slicing and mapping system via a convolutional neural network

A Liu, X Zeng, Y Yuan, L Su, W Wang - Optics Express, 2021 - opg.optica.org
As the key component of the image mapping spectrometer, the image mapper introduces
complex image degradation in the reconstructed images, including low spatial resolution …

Exploiting distortion information for multi-degraded image restoration

W Shin, N Ahn, JH Moon… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
In recent years, tremendous studies have been performed on the image distortion
restoration task and deep learning-based methods have shown prominent performance …

Restoring spatially-heterogeneous distortions using mixture of experts network

S Kim, N Ahn, KA Sohn - Proceedings of the Asian …, 2020 - openaccess.thecvf.com
In recent years, deep learning-based methods have been successfully applied to the image
distortion restoration tasks. However, scenarios that assume a single distortion only may not …

[PDF][PDF] 혼합열화영상복원을위한2 단계U-Net 트랜스포머

김태환, 김문철 - 방송공학회논문지, 2024 - ksbe-jbe.org
요 약최근 인공 신경망 기술의 발전으로 이를 응용하는 영상 복원 성능이 크게 향상되었다.
특히, 트랜스포머 기반 모델들은 영상 복원에획기적인 성능을 보인다. 그러나 이들은 단일 …