State of the art on monocular 3D face reconstruction, tracking, and applications

M Zollhöfer, J Thies, P Garrido, D Bradley… - Computer graphics …, 2018 - Wiley Online Library
The computer graphics and vision communities have dedicated long standing efforts in
building computerized tools for reconstructing, tracking, and analyzing human faces based …

[HTML][HTML] Survey on 3D face reconstruction from uncalibrated images

A Morales, G Piella, FM Sukno - Computer Science Review, 2021 - Elsevier
Recently, a lot of attention has been focused on the incorporation of 3D data into face
analysis and its applications. Despite providing a more accurate representation of the face …

Star: Sparse trained articulated human body regressor

AAA Osman, T Bolkart, MJ Black - … , Glasgow, UK, August 23–28, 2020 …, 2020 - Springer
The SMPL body model is widely used for the estimation, synthesis, and analysis of 3D
human pose and shape. While popular, we show that SMPL has several limitations and …

Generating 3D faces using convolutional mesh autoencoders

A Ranjan, T Bolkart, S Sanyal… - Proceedings of the …, 2018 - openaccess.thecvf.com
Learned 3D representations of human faces are useful for computer vision problems such
as 3D face tracking and reconstruction from images, as well as graphics applications such …

[PDF][PDF] Learning a model of facial shape and expression from 4D scans.

T Li, T Bolkart, MJ Black, H Li, J Romero - ACM Trans. Graph., 2017 - 3dvar.com
Learning a model of facial shape and expression from 4D scans Page 1 Learning a model
of facial shape and expression from 4D scans TIANYE LI∗†, University of Southern …

Conerf: Controllable neural radiance fields

K Kania, KM Yi, M Kowalski… - Proceedings of the …, 2022 - openaccess.thecvf.com
We extend neural 3D representations to allow for intuitive and interpretable user control
beyond novel view rendering (ie camera control). We allow the user to annotate which part …

Faceverse: a fine-grained and detail-controllable 3d face morphable model from a hybrid dataset

L Wang, Z Chen, T Yu, C Ma, L Li… - Proceedings of the …, 2022 - openaccess.thecvf.com
We present FaceVerse, a fine-grained 3D Neural Face Model, which is built from hybrid East
Asian face datasets containing 60K fused RGB-D images and 2K high-fidelity 3D head scan …

Havatar: High-fidelity head avatar via facial model conditioned neural radiance field

X Zhao, L Wang, J Sun, H Zhang, J Suo… - ACM Transactions on …, 2023 - dl.acm.org
The problem of modeling an animatable 3D human head avatar under lightweight setups is
of significant importance but has not been well solved. Existing 3D representations either …

Learning neural parametric head models

S Giebenhain, T Kirschstein… - Proceedings of the …, 2023 - openaccess.thecvf.com
We propose a novel 3D morphable model for complete human heads based on hybrid
neural fields. At the core of our model lies a neural parametric representation that …

3d morphable face models—past, present, and future

B Egger, WAP Smith, A Tewari, S Wuhrer… - ACM Transactions on …, 2020 - dl.acm.org
In this article, 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 …