In addition, a novel 3D face transfer learning method is proposed to ease the domain discrepancy between synthetic and 'in-the-wild' faces. Experimental results ...

In addition, a novel 3D face transfer learning method is proposed to ease the domain discrepancy between synthetic and 'in-the-wild' faces. Experimental results ...

In addition, a novel 3D face transfer learning method is proposed to ease the domain discrepancy between synthetic and 'in-the-wild' faces. Experimental results ...

Experimental results on two public 3D face benchmarks show that the network trained only on synthesized data can also be well generalized to 'in-the-wild' 3D ...

In addition, a novel 3D face transfer learning method is proposed to ease the domain discrepancy between synthetic and 'in-the-wild' faces. Experimental results ...

Learning directly from synthetic point clouds for “in-the-wild” 3D face recognition · List of references · Publications that cite this publication.

In addition, a novel 3D face transfer learning method is proposed to ease the domain discrepancy between synthetic and 'in-the-wild' faces. Experimental results ...

Learning directly from synthetic point clouds for “in-the-wild” 3D face recognition. Pattern Recogn. Pub Date : 2021-10-23. DOI : 10.1016/j.patcog.

Nov 12, 2019 · An overview of proposed 3D face point clouds recognition framework. ... Labeled faces in the wild: A survey. In Advances in Face Detection ...

We present GC-KPL, a novel method for learning 3D human keypoints from in-the-wild point clouds without any human labels. We propose to learn keypoint locations ...