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Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Egor Zakharov · Youtube · 6 HN points · 4 HN comments
HN Theater has aggregated all Hacker News stories and comments that mention Egor Zakharov's video "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models".
Youtube Summary
Statement regarding the purpose and effect of the technology
(NB: this statement reflects personal opinions of the authors and not of their organizations)

We believe that telepresence technologies in AR, VR and other media are to transform the world in the not-so-distant future. Shifting a part of human life-like communication to the virtual and augmented worlds will have several positive effects. It will lead to a reduction in long-distance travel and short-distance commute. It will democratize education, and improve the quality of life for people with disabilities. It will distribute jobs more fairly and uniformly around the World. It will better connect relatives and friends separated by distance. To achieve all these effects, we need to make human communication in AR and VR as realistic and compelling as possible, and the creation of photorealistic avatars is one (small) step towards this future. In other words, in future telepresence systems, people will need to be represented by the realistic semblances of themselves, and creating such avatars should be easy for the users. This application and scientific curiosity is what drives the research in our group, including the project presented in this video.

We realize that our technology can have a negative use for the so-called “deepfake” videos. However, it is important to realize, that Hollywood has been making fake videos (aka “special effects”) for a century, and deep networks with similar capabilities have been available for the past several years (see links in the paper). Our work (and quite a few parallel works) will lead to the democratization of the certain special effects technologies. And the democratization of the technologies has always had negative effects. Democratizing sound editing tools lead to the rise of pranksters and fake audios, democratizing video recording lead to the appearance of footage taken without consent. In each of the past cases, the net effect of democratization on the World has been positive, and mechanisms for stemming the negative effects have been developed. We believe that the case of neural avatar technology will be no different. Our belief is supported by the ongoing development of tools for fake video detection and face spoof detection alongside with the ongoing shift for privacy and data security in major IT companies.

Authors:
Egor Zakharov, Aliaksandra Shysheya, Egor Burkov, Victor Lempitsky

Paper:
https://arxiv.org/abs/1905.08233v1

Music:
"Fresh Fallen Snow" by Chris Haugen
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this video.
They are many models that are capable of generating 3D faces even from single photos.

For example:

https://www.youtube.com/watch?v=qX8AIRsFmTA

or use the rotation of a real face as a guide:

https://www.youtube.com/watch?v=p1b5aiTrGzY

it's not hyper-realistic but it's getting better and better.

A summary video by the paper's authors, with examples: https://www.youtube.com/watch?v=p1b5aiTrGzY
https://youtu.be/p1b5aiTrGzY

One shot training examples at 4:23

May 23, 2019 · 1 points, 0 comments · submitted by praveenscience
May 22, 2019 · 2 points, 1 comments · submitted by PandawanFr
KhoomeiK
Wow. Quite worrying what this technology may lead to when used in conjunction with voice reconstruction.
May 22, 2019 · 3 points, 0 comments · submitted by giacaglia
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