yfeng95 / PRNet

Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
http://openaccess.thecvf.com/content_ECCV_2018/papers/Yao_Feng_Joint_3D_Face_ECCV_2018_paper.pdf
MIT License
4.96k stars 945 forks source link

AFLW2000 evaluation #83

Open yang2640 opened 6 years ago

yang2640 commented 6 years ago

For benchmark evolution on AFLW2000: 1) In the Table 1 of paper, the reported numbers are evaluated using (x, y) without z ? 1> Evaluation number by your given model hints on that way 2> The methods in that table include 2D methods, which hints on that way

2) For those numbers using (x, y, z) with z, how do you map z from the training domain to the AFLW2000 domain ? when they are in different number scale

cleardusk commented 5 years ago

The benchmark of AFLW2000 only consists of x,y points, z is not considered. You can refer here.