English

3D Morphable Face Models -- Past, Present and Future

Computer Vision and Pattern Recognition 2020-04-17 v2 Graphics Machine Learning

Abstract

In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, namely capture, modeling, image formation, and image analysis, are still active research topics, and we review the state-of-the-art in each of these areas. We also look ahead, identifying unsolved challenges, proposing directions for future research and highlighting the broad range of current and future applications.

Keywords

Cite

@article{arxiv.1909.01815,
  title  = {3D Morphable Face Models -- Past, Present and Future},
  author = {Bernhard Egger and William A. P. Smith and Ayush Tewari and Stefanie Wuhrer and Michael Zollhoefer and Thabo Beeler and Florian Bernard and Timo Bolkart and Adam Kortylewski and Sami Romdhani and Christian Theobalt and Volker Blanz and Thomas Vetter},
  journal= {arXiv preprint arXiv:1909.01815},
  year   = {2020}
}

Comments

ACM Transactions on Graphics (TOG)

R2 v1 2026-06-23T11:05:21.476Z