2DASL
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XgTu
The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning...
I am writing a network for face anti-spoofing which use depth map for auxiliary supervision. I see some works use PRNet to generate depth map, but I want to generate...
PRNet has different dimensions than any other model because the neck part is removed. When I evaluated PRNet and your model, I found that PRNet's has the worst NME, probably...
Hi @XgTu , Thank you for the source codes you released. I'm just wondering how did you compare your method with PRNet or actually how did you evaluate PRNet on...
你好，请问如何训练这个项目，而且最好能有文件解释下这个工程的文件目录结构？望解答，谢谢！
it seems that the file is corrupted,would you mind having a check?
Hi @XgTu , I'm facing the error "Sorry, the file you have requested does not exist. Make sure that you have the correct URL and the file exists." when I...
Hi, Thanks for sharing your code. In 3D results plot folder, in https://github.com/XgTu/2DASL/blob/95052f203e6d945bb6563f916cc539bba0815972/3D_results_plot/test_good_byXgtu.m#L3 you are loading tri.mat file. Where is this file? It is not in your repository?
Thank you so much for sharing your code! I'm confused how can I reproduce your demo(so smooth!), and what makes the 3D face reconstruction so smooth? Did you smooth 3Dlandmarks...
