Autosplice: A text-prompt manipulated image dataset for media forensics
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 …
realistic images that can be generated from textual descriptions. However, the increased …
Frequency-oriented efficient transformer for all-in-one weather-degraded image restoration
Adverse weather conditions, such as rain, raindrop, snow and haze, consistently degrade
images in an unpredictable manner, thereby rendering existing task-specific and task …
images in an unpredictable manner, thereby rendering existing task-specific and task …
Weakly-supervised deepfake localization in diffusion-generated images
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 …
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
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 …
significant for the operation and maintenance of equipment. Therefore, this paper develops …
Learning Interpretable Forensic Representations via Local Window Modulation
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 …
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 …
deraining tasks. However, the standard self-attention in the Transformer makes it difficult to …
Dense Feature Interaction Network for Image Inpainting Localization
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 …
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 …
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 …
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 …
artifacts and edge inconsistencies, and use algorithms related to image segmentation …