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In this video I cover Microsoft's "Fake it till you make it: face analysis in the wild using synthetic data alone" paper.
They introduce synthetic (face) data that is realistic enough to enable trivial generalization to real data!
Disclaimer: I was a part of this team while back at Microsoft, and even had some contributions to this project, but in this video, I only talk about the stuff that can be deduced from the paper itself.
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✅ Paper: https://arxiv.org/abs/2109.15102
✅ Demo video: • Fake It Till You Make It: Face Analysis In...
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⌚️ Timetable:
00:00 The domain gap problem
04:20 The paper deals only with human faces
06:05 Data-centric approach is short-sighted?
08:50 Building 3D human faces (high-level explanation)
09:30 Pros and cons of the approach
11:45 Building 3D human faces (in-depth)
16:15 Results on landmark localization and sem seg
20:45 Better generalization?
21:25 Outro
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Huge thank you to these AI Epiphany patreons:
Eli Mahler
Petar Veličković
Bartłomiej Danek
Zvonimir Sabljic
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💡 The AI Epiphany is a channel dedicated to simplifying the field of AI using creative visualizations and in general, a stronger focus on geometrical and visual intuition, rather than the algebraic and numerical "intuition".
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#facesynthetics #syntheticdata #microsoft