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Computer Science > Computer Vision and Pattern Recognition

arXiv:1906.05856 (cs)
[Submitted on 13 Jun 2019 (v1), last revised 5 Sep 2019 (this
version, v2)]

Title:Detecting Photoshopped Faces by Scripting Photoshop

Authors:Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang,
Alexei A. Efros
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    Abstract: Most malicious photo manipulations are created using
    standard image editing tools, such as Adobe Photoshop. We present
    a method for detecting one very popular Photoshop manipulation --
    image warping applied to human faces -- using a model trained
    entirely using fake images that were automatically generated by
    scripting Photoshop itself. We show that our model outperforms
    humans at the task of recognizing manipulated images, can predict
    the specific location of edits, and in some cases can be used to
    "undo" a manipulation to reconstruct the original, unedited
    image. We demonstrate that the system can be successfully applied
    to real, artist-created image manipulations.

Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as:  arXiv:1906.05856 [cs.CV]
          (or arXiv:1906.05856v2 [cs.CV] for this version)

Submission history

From: Sheng-Yu Wang [view email]
[v1] Thu, 13 Jun 2019 17:59:02 UTC (8,922 KB)
[v2] Thu, 5 Sep 2019 17:59:09 UTC (8,606 KB)
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Andrew Owens
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Alexei A. Efros
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