license: mit
library_name: pytorch
tags:
- realdenseface
- computer-vision
- 3d-face-reconstruction
- face-tracking
- flame
- dinov3
- arxiv:2608.09238
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
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/.
Additional inference resources are included: FaceBox weights and FLAME assets.
For installation and usage, see the GitHub repository. The FLAME model flame2023.pkl must be obtained separately from the official website under its license. Third-party resources retain their respective licenses.
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}
}