Comments (1)
Hi Furkan,
There are two datasets and two pretrained models that are used in the paper (one with expression variation, and the other without). Unfortunately, only one of them is allowed to be public by their licenses (the one with expression). And the public one (the one you received) has a different topology that does not consist of the neck.
One quick solution you can apply if you really need neck and ears, you can fit Basel Face Model to any generated face and slowly interpolate from one to another.
Hope this helps,
Baris
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Related Issues (12)
- Question about the normal UVmap? HOT 1
- Code availability update HOT 9
- Questions about the detail normal map HOT 3
- Pretrained weights HOT 1
- test error HOT 16
- About training strategy HOT 1
- Request for the code to cylindrically unwrap the mean face HOT 2
- Input vectors for the results on the paper HOT 1
- IS there a way to turn off discriminator training? HOT 4
- Queries about dataset_tool.py
- Strange outputs of the pre-trained models HOT 1
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