Artificial intelligence in the creative industries: a review

N Anantrasirichai, D Bull - Artificial intelligence review, 2022 - Springer
This paper reviews the current state of the art in artificial intelligence (AI) technologies and
applications in the context of the creative industries. A brief background of AI, and …

A comprehensive review on analysis and implementation of recent image dehazing methods

SC Agrawal, AS Jalal - Archives of Computational Methods in Engineering, 2022 - Springer
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …

Vision transformers for single image dehazing

Y Song, Z He, H Qian, X Du - IEEE Transactions on Image …, 2023 - ieeexplore.ieee.org
Image dehazing is a representative low-level vision task that estimates latent haze-free
images from hazy images. In recent years, convolutional neural network-based methods …

Maxim: Multi-axis mlp for image processing

Z Tu, H Talebi, H Zhang, F Yang… - Proceedings of the …, 2022 - openaccess.thecvf.com
Recent progress on Transformers and multi-layer perceptron (MLP) models provide new
network architectural designs for computer vision tasks. Although these models proved to be …

Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

L Tang, J Yuan, J Ma - Information Fusion, 2022 - Elsevier
Infrared and visible image fusion aims to synthesize a single fused image that not only
contains salient targets and abundant texture details but also facilitates high-level vision …

All-in-one image restoration for unknown corruption

B Li, X Liu, P Hu, Z Wu, J Lv… - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
In this paper, we study a challenging problem in image restoration, namely, how to develop
an all-in-one method that could recover images from a variety of unknown corruption types …

Curricular contrastive regularization for physics-aware single image dehazing

Y Zheng, J Zhan, S He, J Dong… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Considering the ill-posed nature, contrastive regularization has been developed for single
image dehazing, introducing the information from negative images as a lower bound …

Self-augmented unpaired image dehazing via density and depth decomposition

Y Yang, C Wang, R Liu, L Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
To overcome the overfitting issue of dehazing models trained on synthetic hazy-clean image
pairs, many recent methods attempted to improve models' generalization ability by training …

Contrastive learning for compact single image dehazing

H Wu, Y Qu, S Lin, J Zhou, R Qiao… - Proceedings of the …, 2021 - openaccess.thecvf.com
Single image dehazing is a challenging ill-posed problem due to the severe information
degeneration. However, existing deep learning based dehazing methods only adopt clear …

Image-adaptive YOLO for object detection in adverse weather conditions

W Liu, G Ren, R Yu, S Guo, J Zhu… - Proceedings of the AAAI …, 2022 - ojs.aaai.org
Though deep learning-based object detection methods have achieved promising results on
the conventional datasets, it is still challenging to locate objects from the low-quality images …