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cleardusk / 3DDFA

The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
MIT License
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comparison with FAN method #41

Closed segalinc closed 5 years ago

segalinc commented 5 years ago

Hi, thank you for your contribution on this topic. I am curious to understand how this improved implementation performs w.r.t FAN approach from "How far are we from solving the 2D \& 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks" work.

thank you.

cleardusk commented 5 years ago

It depends. FAN methods are not dense face alignment while 3DDFA can regress dense face vertices. You have proposed the same issue in here, the author of FAN has a good response. In all, these two methods have their own advantages.