Comments (1)
Hey, thanks for your interest in our work. I selected the regularization parameters so that the expression_reg converges at about a value of 40
I suggest that you play around a bit with the weight - in my experience it was a good value so that we have expressiveness while constraining the model enough to not introduce artifacts.
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Related Issues (18)
- Cannot clone the submodule external/Visual_Speech_Recognition_for_Multiple_Languages HOT 2
- Can not find the run_av_hubert.sh file HOT 1
- Is it possible to use this work for single image reconstruction? HOT 1
- How do I get the generated mesh HOT 1
- script demo.py fail to start HOT 1
- About landmarks HOT 1
- Unable to perceive improvement. HOT 3
- Cannot find tracker folder in the Visual_Speech_Recognition_for_Multiple_Languages
- dataset link invalid HOT 2
- Reconstructed mesh is not stable HOT 4
- About the Pre-trained model HOT 1
- Expression Retargeting HOT 10
- couldn't download the spectre_model.tar HOT 2
- Question about saving the mesh HOT 3
- How to change training datasets? HOT 3
- Great works! Do you try with temporal images rather than audio? HOT 3
- Problem with face_detection HOT 1
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from spectre.