Real-time 3D face mesh from one camera on phones
Real-time 3D face mesh from one camera on phones
Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs
arXiv paper abstract https://arxiv.org/abs/1907.06724
arXiv PDF paper https://arxiv.org/pdf/1907.06724.pdf
PyTorch GitHub https://github.com/thepowerfuldeez/facemesh.pytorch
TensorFlow GitHub https://github.com/gouthamvgk/facemesh_coreml_tf
Project Web page https://sites.google.com/view/perception-cv4arvr/facemesh
Project demo https://gradio.app/g/AK391/FaceMesh
... inferring an approximate 3D mesh representation of a human face from single camera input for AR applications.
... dense mesh model of 468 vertices is well-suited for face-based AR effects.
... inference speed on mobile GPUs (100-1000+ FPS ...)
... prediction quality that is comparable to the variance in manual annotations of the same image.
Please like and share this post if you enjoyed it using the buttons at the bottom!
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
Kommentarer