YuDeng

Hi, seems that the renderer from PR_Net do not handle self-occlusion so it may cause artifacts for certain part (e.g nose). I'm not sure why tf_mesh_renderer does not work in...

It seems that your scipy's version is incompatible with the 01_MorphableModel.mat. You could try other versions to see if it works. Everything should work without matlab.

Hi, the losses in 2d image domain can reflect the 3d reconstruction performance to some extent. However, it is better to evaluate the 3d reconstruction error directly using certain datasets...

Hi, can you explain more about this error? When does this error occur? Does it happen randomly or happen on certain images? We have test the training code on example...

Hi, this error should not be related to dataset. I will check if there exists a bug in the code to be fixed.

> I have the same problem. I ran the training code on example images. > > > Iter: 7958; lm_loss: 2.760531 ; photo_loss: 0.079728; id_loss: 0.088676 > > Iter: 7959;...

Hi, I follow the exact same procedure as in readme to train on example images provided in this repo for several times, but the nan error does not occur. Following...

I recommend using Linux environment and tensorflow 1.12 because we have conducted all the experiments under this setting. I'm not sure if tf_mesh_renderer works correctly under windows. Although the forward...

Hi, sorry that the current code does not include the C-Net part. Actually, we did not release the C-Net part in any previous versions.

Well, in the paper we did use the C-Net and report the evaluation results. Later in practice, we find that in most of the times C-Net only has minor improvement...