SafePaint: Anti-forensic Image Inpainting with Domain Adaptation

arXiv:2404.18136v1 Announce Type: new
Abstract: Existing image inpainting methods have achieved remarkable accomplishments in generating visually appealing results, often accompanied by a trend toward creating more intricate structural textures. However, while these models excel at creating more realistic image content, they often leave noticeable traces of tampering, posing a significant threat to security. In this work, we take the anti-forensic capabilities into consideration, firstly proposing an end-to-end training framework for anti-forensic image inpainting named SafePaint. Specifically, we innovatively formulated image …

abstract arxiv cs.cv cs.mm domain domain adaptation excel however image inpainting results security threat traces trend type while