The arxiv paper [0] shows some further examples, which include some non-white faces. Your point is a fair one in the case of this application, since the goal is to do 3D reconstruction of the face. The project's YouTube video [1] shows one example (around 0:44) of the reconstruction run on test input of a black woman, and the reconstruction has some troubles modeling the wider nose common in black populations. More varied data (or an ensemble method that attempts coarse racial categorization and then further refining ethnicity-specific face models) might get better results.

[0] https://arxiv.org/pdf/1803.07835.pdf

[1] https://www.youtube.com/watch?v=tXTgLSyIha8&feature=youtu.be

This is somewhat ironic given that all five of the paper’s authors are East Asian.

Absolutely. Even if one doesn't care about quality or inclusion, making this mistake can lead to big PR fails (and apparently lasting tech struggles): https://www.wired.com/story/when-it-comes-to-gorillas-google...

They're also all humans. How diverse they go depends on the application people put it to. It's surely enough to prove the concept with one race and one species.