training code issue

[tanshuai0219]

Sorry, I didn't see the Expression loss (eq 10 in the paper) implemented in the training codes.

[oriel]

Hello, I have also the same observation about the missing expression recognition loss in the training code.
I have tried to finetune the model on some new data, and it seems to not train correctly for better expression transfer, probably because of this missing loss.
Would it be please possible to update the training code with the expression loss?
Thanks a lot

[xiaonae]

Hello, I have also the same observation about the missing expression recognition loss in the training code. I have tried to finetune the model on some new data, and it seems to not train correctly for better expression transfer, probably because of this missing loss. Would it be please possible to update the training code with the expression loss? Thanks a lot

Hi, I have added the expression loss, you can find it in this link, http://openaccess.thecvf.com/content/CVPR2022/html/Danecek_EMOCA_Emotion_Driven_Monocular_Face_Capture_and_Animation_CVPR_2022_paper.html.

Could you share how you finetune the trained DPE on new data? Especially " the selection of loss function " and "the param.requires_grad of which submodules are set to True, including enc, dec_pose, dec_exp, mlp, mlp_exp, mlp_pose, and discriminator"?

Thank you very much!