Speaker：Supasorn Suwajanakorn

视频链接

原视频

摘要

• So I set out to see if this could be done and eventually came up with a new solution that can build a model of a person using nothing but these: existing photos and videos of a person.
  于是我开始探索这个能不能搞定，并最终找到了一个新的解决方案，只需使用下面这些东西就能构建人的模型：个人现存的照片和视频。

• First, we introduce a new technique that can reconstruct a high-detailed 3D face model from any image without ever 3D-scanning the person.
  首先我们引入一种新的技术可以从任何图像中重建一个高细节的3D人脸模型，而且无需经对真人进行3D扫描。

• And we are still missing color here, so next, we develop a new blending technique that improves upon a single averaging method and produces sharp facial textures and colors.
  这里我们仍然缺少肤色，所以下一步，我们开发了一种新的混合技术 改善了平均模型， 并产生尖锐的面部纹理和肤色。

• As a researcher, I'm also working on countermeasure technology, and I'm part of an ongoing effort at AI Foundation, which uses a combination of machine learning and human moderators to detect fake images and videos, fighting against my own work.
  作为一名研究人员，我也在研究对抗技术，我是人工智能基金会持续努力的一份子，它结合了机器学习和人工模型来识别假图像和视频，与我们自己的工作做斗争。

• Despite all this, though, fake videos could do a lot of damage, even before anyone has a chance to verify, so it's very important that we make everyone aware of what's currently possible so we can have the right assumption and be critical about what we see.
  此外，假视频可以带来很大危害，甚至在人们有机会验证它之前，所以让大家意识到这可能是什么非常重要，这样我们才能得到正确的推断，并对看到的保持谨慎。

• There's still a long way to go before we can fully model individual people and before we can ensure the safety of this technology.
  在个人完全建模以及确保技术的安全性方面，仍有很长的路要走。