Exposing fake images generated by text-to-image diffusion models

Q Xu, H Wang, L Meng, Z Mi, J Yuan, H Yan - Pattern Recognition Letters, 2023 - Elsevier
Text-to-image diffusion models (DM) have posed unprecedented challenges to the
authenticity and integrity of digital images, which makes the detection of computer …

MDTL-NET: Computer-generated image detection based on multi-scale deep texture learning

Q Xu, S Jia, X Jiang, T Sun, Z Wang, H Yan - Expert Systems with …, 2024 - Elsevier
Distinguishing between computer-generated (CG) and natural photographic (PG) images is
of great importance to verify the authenticity and originality of digital images. However, the …

Deep image fingerprint: Towards low budget synthetic image detection and model lineage analysis

S Sinitsa, O Fried - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
The generation of high-quality images has become widely accessible and is a rapidly
evolving process. As a result, anyone can generate images that are indistinguishable from …

Detecting Artificial Intelligence-Generated images via deep trace representations and interactive feature fusion

Q Xu, X Jiang, T Sun, H Wang, L Meng, H Yan - Information Fusion, 2024 - Elsevier
Abstract The detection of Artificial Intelligence-Generated (AIG) images plays an important
role in verifying the authenticity and originality of digital images. However, recent …

[HTML][HTML] Integrated design of optimized weighted deep feature fusion strategies for skin lesion image classification

N Mohanty, M Pradhan, AVN Reddy, S Kumar… - Cancers, 2022 - mdpi.com
Simple Summary The reported global incidences of skin cancer led to the development of
automated clinical aids for making proper clinical decision models. Correctly classifying the …

Detection of GAN generated image using color gradient representation

Y Liu, Z Wan, X Yin, G Yue, A Tan, Z Zheng - Journal of Visual …, 2023 - Elsevier
With the development of generative adversarial network (GANs) technology, the technology
of GAN generates images has evolved dramatically. Distinguishing these GAN generated …

Preserving manipulated and synthetic Deepfake detection through face texture naturalness

CJ Chew, YC Lin, YC Chen, YY Fan, JS Lee - Journal of Information …, 2024 - Elsevier
With the rapid development of deep learning and face recognition technology, AI (Artificial
Intelligence) experts have rated Deepfake cheating as the top AI threat. It is difficult for the …

Improving the Generalization and Robustness of Computer‐Generated Image Detection Based on Contrastive Learning

Y Chen, W Yin, A Luo, J Yang… - International Journal of …, 2025 - Wiley Online Library
With the rapid development of image generation techniques, it becomes much more difficult
to distinguish high‐quality computer‐generated (CG) images from photographic (PG) …

Toward Exploring Fairness in Visual Transformer Based Natural and GAN Image Detection Systems

MP Gangan, A Kadan, VL Lajish - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Image forensics research has recently witnessed a lot of advancements toward developing
computational models capable of accurately detecting natural images captured by cameras …

Color Patterns And Enhanced Texture Learning For Detecting Computer-Generated Images

Q Xu, D Xu, H Wang, J Yuan, Z Wang - The Computer Journal, 2024 - academic.oup.com
Detection of computer-generated (CG) images can reveal the authenticity and originality of
digital images. However, recent cutting-edge image generation methods make it very difficult …