2 citations · 3 across the 5 of their papers we have counts for
6 papers
Generalized Synthetic Image Detection with Enhanced RGB-Noise Representation Learning
Zhen Li, Gang Cao, Tian Zhang +2
The rapid advancement of large-scale generative models has accelerated the spread of highly deceptive AI-generated images, making generalized synthetic image detection a critical i…
A Lightweight and Effective Image Tampering Localization Network with Vision Mamba
Kun Guo, Gang Cao, Zijie Lou +2
Current image tampering localization methods primarily rely on Convolutional Neural Networks (CNNs) and Transformers. While CNNs suffer from limited local receptive fields, Transfo…
Image Forgery Localization with State Space Models
Zijie Lou, Gang Cao, Kun Guo +2
Pixel dependency modeling from tampered images is pivotal for image forgery localization. Current approaches predominantly rely on Convolutional Neural Networks (CNNs) or Transform…
Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization
Zijie Lou, Gang Cao, Kun Guo +2
Image forgery localization, which aims to segment tampered regions in an image, is a fundamental yet challenging digital forensic task. While some deep learning-based forensic meth…
Progressive Feedback-Enhanced Transformer for Image Forgery Localization
Haochen Zhu, Gang Cao, Xianglin Huang
Blind detection of the forged regions in digital images is an effective authentication means to counter the malicious use of local image editing techniques. Existing encoder-decode…
Effective Image Tampering Localization via Enhanced Transformer and Co-attention Fusion
Kun Guo, Haochen Zhu, Gang Cao
Powerful manipulation techniques have made digital image forgeries be easily created and widespread without leaving visual anomalies. The blind localization of tampered regions bec…