RealDenseFace

Real-time Monocular 3D Face Reconstruction from Dense UV-space Priors

Linzhou Li, Tianjia Shao, Kun Zhou
State Key Lab of CAD&CG, Zhejiang University

Project · Paper · Code

RealDenseFace combines dense UV-space correspondence and relative-depth predictions with a tailored CUDA Gauss-Newton solver for FLAME reconstruction. It supports single-image fitting, offline sequence reconstruction, online tracking, and calibrated multi-view fitting.

Models

Model	Encoder	Input size	Checkpoint
ViT-S	DINOv3 ViT-S+	512 × 512	vits.pth
ViT-B	DINOv3 ViT-B	512 × 512	vitb.pth

ViT-S is the default model for online tracking; ViT-B is the default for single-image and offline reconstruction. Matching model and fitting configurations are included in configs/.

For installation and usage, see the GitHub repository. FLAME model files must be obtained separately from the official website under its license.

Citation

@article{li2026realdenseface,
  title   = {RealDenseFace: Real-time Monocular 3D Face Reconstruction from Dense UV-space Priors},
  author  = {Li, Linzhou and Shao, Tianjia and Zhou, Kun},
  journal = {arXiv preprint arXiv:2608.09238},
  year    = {2026}
}