Comments (1)
t-martyniuk
commented on June 16, 2024
Thanks for your interest!
Please see Section 3.1 of the main paper and Supplementary A.3 for more details on the annotation process. You can also check the video here: https://www.pinatafarm.com/research/dad-3dheads/dataset
When the annotator pins a point on the model surface, the non-linear least squares optimization runs over the shape+expression parameters of the model, so that the discrepancy between the projections of the points on the model surface that were pinned and the pixels that those points were pinned to is the smallest.
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Related Issues (20)
- it is not so good, it is good only for the 1.jpeg image. HOT 1
- head HOT 3
- From scratch train the model with custom dataset. HOT 1
- How to generate 'rotation_matrix' and '7_landmarks_3d' for all validation/test images HOT 3
- Loss weight setting inconsistent with your config in paper HOT 1
- How to get FLAME subset points? HOT 3
- flame_mesh_faces.pt HOT 1
- UV Map
- dataset request form no reply HOT 4
- Can this model produce such dense grid model or mesh information? HOT 2
- /any pretrained model available for download HOT 1
- Wrong vertex number in right cheek. HOT 2
- Can I use labeling tools? HOT 1
- Why facial landmarks are not recognized correctly HOT 3
- ALFW2000-3D preprocessing HOT 1
- Error when calculating metrics HOT 1
- Request for Assistance with Error in Code - TypeError: 'TensorBoardLogger' object is not iterable HOT 6
- dataset request form no reply :( HOT 7
- Metadata val.json missing attributes labels HOT 1
- Request for Assistance with Error in Code - ValueError: Unexpected keyword arguments: `compute_on_step`
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