Facial Retouching and Alteration Detection

Abstract On the social media platforms, filters for digital retouching and face beautification have become a common trend. With availability of easy-to-use image editing tools, generation altered images has an effortless task. Apart from this, advancements in Generative Adversarial Network (GAN) leads to creation realistic facial alteration based on attributes. While majority these are created fun purposes, they may be used with malicious intent negative applications such as deepnude or spreading visual fake news. Therefore, it is important detect alterations videos. This chapter presents comprehensive survey existing algorithms retouched detection. Further, multiple experiments performed highlight open challenges