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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
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Evaluate 3D Face Reconstruction #175

Open UestcJay opened 4 years ago

UestcJay commented 4 years ago

Thanks for your great work! When evaluating 3D face reconstruction , you compared with 3DDFA which is based on BFM. The difference between 3DDFA(50k) and PRNet (40k)is the number of vertex, when I use 3DDFA, how can I compare with PRN in AFLW2000? Look forward to your reply!

HOMGH commented 3 years ago

Thanks for your great work! When evaluating 3D face reconstruction , you compared with 3DDFA which is based on BFM. The difference between 3DDFA(50k) and PRNet (40k)is the number of vertex, when I use 3DDFA, how can I compare with PRN in AFLW2000? Look forward to your reply!

Hi, I have the same issue with comparing different methods. Could you find the answer of your question?!