Open JeremyCJM opened 1 year ago
This is the result of retraining the smplx_face model, which provides very different metric values compared with the values on paper.
I got very different metric values for the face using your provided checkpoint, compared with the values on paper.
On paper:
I tested:
I think when this code ( python data_utils/dataset_preprocess.py) is executed, it will split train dataset, valid dataset and test dataset randomly. Some of the test data you use may have been used to train the provided checkpoint, but the LVD values are about a tenth of the ones in the paper.
I got very different metric values for the face using your provided checkpoint, compared with the values on paper.
On paper:
I tested: