Autosplice: A text-prompt manipulated image dataset for media forensics

S Jia, M Huang, Z Zhou, Y Ju… - Proceedings of the …, 2023 - openaccess.thecvf.com
Recent advancements in language-image models have led to the development of highly
realistic images that can be generated from textual descriptions. However, the increased …

Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration

T Gao, Y Wen, K Zhang, J Zhang… - … on Circuits and …, 2023 - ieeexplore.ieee.org
Adverse weather conditions, such as rain, raindrop, snow and haze, consistently degrade
images in an unpredictable manner, thereby rendering existing task-specific and task …

Weakly-supervised deepfake localization in diffusion-generated images

DC Țânțaru, E Oneață… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The remarkable generative capabilities of denoising diffusion models have raised new
concerns regarding the authenticity of the images we see every day on the Internet …

The meta-defect-detection system for gear pitting based on digital twin

D **, L Hou, J Luo, F Liu, Y Qin - Advanced Engineering Informatics, 2023 - Elsevier
Gear pitting is a typical surface defect, and its accurate three-dimensional (3D) detection is
significant for the operation and maintenance of equipment. Therefore, this paper develops …

Learning Interpretable Forensic Representations via Local Window Modulation

S Das, MR Amin - … of the IEEE/CVF International Conference …, 2023 - openaccess.thecvf.com
The majority of existing image forgeries involve augmenting a specific region of the source
image which leaves detectable artifacts and forensic traces. These distinguishing features …

Exploring high-quality image deraining Transformer via effective large kernel attention

H Dong, T Song, X Qi, J **, G **, L Fan - The Visual Computer, 2024 - Springer
In recent years, Transformer has demonstrated significant performance in single image
deraining tasks. However, the standard self-attention in the Transformer makes it difficult to …

Dense Feature Interaction Network for Image Inpainting Localization

Y Yao, T Han, S Jia, S Lyu - IEEE Transactions on Information …, 2025 - ieeexplore.ieee.org
Image inpainting, the process of filling in missing areas in an image, is a common image
editing technique. Inpainting can be used to conceal or alter image contents in malicious …

Weakly-Supervised Cross-Contrastive Learning Network for Image Manipulation Detection and Localization

R Bai - Knowledge-Based Systems, 2025 - Elsevier
With the significant reduction in the cost of image manipulation due to advancements in
image editing tools, it is crucial to investigate methods for detecting image manipulation …

Three-stage image forgery localization with shallow feature enhancement and attention

X Chai, S Song, Y Tan, Y Lei, Z Huang… - Journal of Electronic …, 2022 - spiedigitallibrary.org
With the development of technology, it is becoming easier and easier for people to generate
tampered images that are indistinguishable from the human eye, and the malicious use of …

Image Manipulation Detection and Localization using Multi-Scale Contrastive Learning

R Bai - Applied Soft Computing, 2024 - Elsevier
Current image tampering detection methods rely on various forgery footprints, such as JPEG
artifacts and edge inconsistencies, and use algorithms related to image segmentation …