English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The accelerated advancement of generative AI significantly enhance theviability and effectiveness of generative regional editing methods. Thisevolution render the image manipulation more accessible, thereby intensifyingthe risk of altering the conveyed information within original images and evenpropagating misinformation. Consequently, there exists a critical demand forrobust capable of detecting the edited images. However, the lack ofcomprehensive dataset containing images edited with abundant and advancedgenerative regional editing methods poses a substantial obstacle to theadvancement of corresponding detection methods.  We endeavor to fill the vacancy by constructing the GRE dataset, alarge-scale generative regional editing dataset with the following advantages:1) Collection of real-world original images, focusing on two frequently editedscenarios. 2) Integration of a logical and simulated editing pipeline,leveraging multiple large models in various modalities. 3) Inclusion of variousediting approaches with distinct architectures. 4) Provision of comprehensiveanalysis tasks. We perform comprehensive experiments with proposed three tasks:edited image classification, edited method attribution and edited regionlocalization, providing analysis of distinct editing methods and evaluation ofdetection methods in related fields. We expect that the GRE dataset can promotefurther research and exploration in the field of generative region editingdetection.

Rethinking Image Editing Detection in the Era of Generative AI Revolution