Contact Info
• Interested in the DeFake tool?
• We’ll be beta testing probably in November
• Contact us to be included or for more info
• Matt: matthew.wright@rit.edu
• John: js8365@mail.rit.edu
They
Might
NOT be
Giants
MattWright
Quick History
• 2016: Face2Face
• 2017: Synthesizing Obama
• “End of 2017” r/deepfakes
• Jan. 2018: FakeApp
Theis et al. Deferred Neural Rendering: Image Synthesis using Neural Textures. https://arxiv.org/pdf/1904.12356.pdf
Theis et al. Deferred Neural Rendering: Image Synthesis using Neural Textures. https://arxiv.org/pdf/1904.12356.pdf
Nirkin et al. FSGAN: Subject Agnostic Face Swapping and Reenactment https://arxiv.org/pdf/1908.05932.pdf
Nirkin et al. FSGAN: Subject Agnostic Face Swapping and Reenactment https://arxiv.org/pdf/1908.05932.pdf
Zakharov et al. Few-Shot Adversarial Learning of Realistic Neural Talking Head Models https://arxiv.org/pdf/1905.08233.pdf
Only 32
frames to
learn
Songsri-in et al. Face Video Generation from a Single Image and Landmarks https://arxiv.org/pdf/1904.11521.pdf
Zhou et al. Dance Dance Generation: Motion Transfer for Internet Videos https://arxiv.org/pdf/1904.00129.pdf
Bansal et al. Shapes and Context: In-the-Wild Image Synthesis & Manipulation CVPR 2019
IsThere Hope?
“Supported by the Ethics and Governance of AI Initiative”
https://imgur.com/gallery/I2Q6FtX

Preparing for the Future of Deepfakes – ONA19

  • 1.
    Contact Info • Interestedin the DeFake tool? • We’ll be beta testing probably in November • Contact us to be included or for more info • Matt: matthew.wright@rit.edu • John: js8365@mail.rit.edu
  • 2.
  • 3.
    Quick History • 2016:Face2Face • 2017: Synthesizing Obama • “End of 2017” r/deepfakes • Jan. 2018: FakeApp
  • 4.
    Theis et al.Deferred Neural Rendering: Image Synthesis using Neural Textures. https://arxiv.org/pdf/1904.12356.pdf
  • 5.
    Theis et al.Deferred Neural Rendering: Image Synthesis using Neural Textures. https://arxiv.org/pdf/1904.12356.pdf
  • 6.
    Nirkin et al.FSGAN: Subject Agnostic Face Swapping and Reenactment https://arxiv.org/pdf/1908.05932.pdf
  • 7.
    Nirkin et al.FSGAN: Subject Agnostic Face Swapping and Reenactment https://arxiv.org/pdf/1908.05932.pdf
  • 8.
    Zakharov et al.Few-Shot Adversarial Learning of Realistic Neural Talking Head Models https://arxiv.org/pdf/1905.08233.pdf Only 32 frames to learn
  • 9.
    Songsri-in et al.Face Video Generation from a Single Image and Landmarks https://arxiv.org/pdf/1904.11521.pdf
  • 10.
    Zhou et al.Dance Dance Generation: Motion Transfer for Internet Videos https://arxiv.org/pdf/1904.00129.pdf
  • 11.
    Bansal et al.Shapes and Context: In-the-Wild Image Synthesis & Manipulation CVPR 2019
  • 12.
    IsThere Hope? “Supported bythe Ethics and Governance of AI Initiative”
  • 15.