Open buaacyw opened 2 years ago
Those names are made by me, and actually FLAME does not provide any images like that.. So I just manually checked all landmarks.. One thing is that you can check here: https://github.com/mks0601/Hand4Whole_RELEASE/blob/Pose2Pose/data/MSCOCO/MSCOCO.py It provides compatible names with those of FLAME, so you can check it. You can check MSCOCO facial keypoints at https://github.com/jin-s13/COCO-WholeBody
Thanks for your quick reply! It really helps.
So just to make sure:
joint_to_flame[flame_landmark_index]=coco_index
in which flame_landmark_index ranges from 0 to 72 (this is precisely the 73 total face landmark numbers mentioned in human_models.py). And except -1, coco_index range from 0 to 67. Add 24 to each coco_index, we can get the same index in the below image (which is from 24 to 91).
Is this right? Thanks!
Maybe, but you may want to check it my yourself. It's been a while, so I can't remember clearly
Thanks!
Hi guys, I would like ask a relevant question. Given that we can use a lot of keypoints on human's face, why we still resort to SMPL-X, which contains only 10 keypoints for facial expressions at the end?
Could you elaborate? I have no idea what you mean by 10 keypoints. there are hundreads of mesh vertices in SMPL-X.
Oh I mean SMPL-X has 10 parameters for controlling facial parameters. I thought they mean it has 10 keypoints on the face. Am I understanding it correctly?
What is the purpose for registering SMPL-X model here? Is it for evaluation or for generating human model?
I was wondering, since we can have a lot of keypoints, why we cannot just use them to generate pose but still resort to SMPL-X, which may lose some details (I am not sure whether such claim is true.) If we want our generated human model is photo-realistic, should we choose not to rely on SMPL-L or we can still use it?
No. 10-dimensional vector represents a low-dimensional embedding of the facial expression like coeffiecient of the PCA space. keypoint is a subset of mesh vertices. each vertex of a mesh can be seen as a keypoint.
Oh I see. So will adding some keypoints on face, such as using google' media pipe, help improve facial expressions when we use SMPL-X? And can we generate photo-realistic model with SMPL-X?
Thanks for your great work! I have a question about face key points names.
In human_models.py, it's mentioned that face key points names can be found in FLAME class. But I didn't find it. I have searched about FLAME face landmark orders but I can't find it. So could you please help me to find the FLAME face landmark orders that your model uses? (Like the below image)
Thanks!