3DDFA
DAD-3DHeads
3DDFA | DAD-3DHeads | |
---|---|---|
2 | 1 | |
3,560 | 415 | |
- | 1.4% | |
0.0 | 0.8 | |
about 2 years ago | about 1 year ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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3DDFA
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[D] Alternatives to Mediapipe's FaceMesh for 3D Face Reconstruction
You can check DECA, 3DDFA , as they give you detailed 3d landmarks (detailed as in "denser" 3d landmarks) which is obtained through Face Blendshape Vertices.
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Concepts used in 3D face/head creation using images from consumer camera
I am aware of the work of 3ddfav2 (https://github.com/cleardusk/3DDFA) and tried the results, but the output is not as realistic as one demonstrated in above.
DAD-3DHeads
What are some alternatives?
face-alignment - :fire: 2D and 3D Face alignment library build using pytorch
transfiner - Mask Transfiner for High-Quality Instance Segmentation, CVPR 2022
3DDFA_V2 - The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
blender-NaomiLib - Blender addon for importing NaomiLib files
MICA - MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
MonoScene - [CVPR 2022] "MonoScene: Monocular 3D Semantic Scene Completion": 3D Semantic Occupancy Prediction from a single image
DECA - DECA: Detailed Expression Capture and Animation (SIGGRAPH 2021)
void-dataset - Visual Odometry with Inertial and Depth (VOID) dataset