Comments (2)
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
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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!
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Related Issues (20)
- source video question
- Hello, I would like to request data
- Video editing with single source image & two driving videos? HOT 2
- Hello, I would like to request data HOT 3
- paste pose HOT 1
- 为什么我找不到输入一张图片和两张视频驱动的代码 HOT 3
- 如何确保原视频crop出来的头部视频,经过run_demo.py加工后,paste回原视频,脖子能接上 HOT 2
- License clarification, please?
- The loss functions in the project are inconsistent with the paper. HOT 1
- Great work, can you share an example of One-shot driving
- colab link HOT 1
- video is very blurry HOT 1
- face deformation HOT 1
- train_list.txt HOT 7
- hugging face/collab not working
- 使用run_demo_paste.py,唇部会有重影
- Gradio
- mlp_pose and mlp_exp?
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