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20192021
most citedAre GAN generated images easy to detect? A critical analysis of the state-of-the-art

2 citations · 3 across the 4 of their papers we have counts for

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Showing 2019Show all

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cs.CV2019

Incremental learning for the detection and classification of GAN-generated images

Francesco Marra, Cristiano Saltori, Giulia Boato +1

Current developments in computer vision and deep learning allow to automatically generate hyper-realistic images, hardly distinguishable from real ones. In particular, human face g…

cs.CV2019

A Full-Image Full-Resolution End-to-End-Trainable CNN Framework for Image Forgery Detection

Francesco Marra, Diego Gragnaniello, Luisa Verdoliva +1

Due to limited computational and memory resources, current deep learning models accept only rather small images in input, calling for preliminary image resizing. This is not a prob…