Learning an animatable detailed 3D face model from in-the-wild images

Y Feng, H Feng, MJ Black, T Bolkart - ACM Transactions on Graphics …, 2021 - dl.acm.org
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

Expressive body capture: 3d hands, face, and body from a single image

G Pavlakos, V Choutas, N Ghorbani… - Proceedings of the …, 2019 - openaccess.thecvf.com
To facilitate the analysis of human actions, interactions and emotions, we compute a 3D
model of human body pose, hand pose, and facial expression from a single monocular …

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 …

[HTML][HTML] Large scale 3D morphable models

J Booth, A Roussos, A Ponniah, D Dunaway… - International Journal of …, 2018 - Springer
We present large scale facial model (LSFM)—a 3D Morphable Model (3DMM) automatically
constructed from 9663 distinct facial identities. To the best of our knowledge LSFM is the …

A 3d morphable model learnt from 10,000 faces

J Booth, A Roussos, S Zafeiriou… - Proceedings of the …, 2016 - openaccess.thecvf.com
Abstract We present Large Scale Facial Model (LSFM)--a 3D Morphable Model (3DMM)
automatically constructed from 9,663 distinct facial identities. To the best of our knowledge …

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 …

Learning mid-level features for recognition

YL Boureau, F Bach, Y LeCun… - 2010 IEEE computer …, 2010 - ieeexplore.ieee.org
Many successful models for scene or object recognition transform low-level descriptors
(such as Gabor filter responses, or SIFT descriptors) into richer representations of …

Parametric modeling of 3D human body shape—A survey

ZQ Cheng, Y Chen, RR Martin, T Wu, Z Song - Computers & Graphics, 2018 - Elsevier
Parametric modeling of 3D body shape is widely used to create realistic human bodies. It
furthermore permits robust reconstruction of complete 3D body shapes even from …

Towards a complete 3D morphable model of the human head

S Ploumpis, E Ververas, E O'Sullivan… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Three-dimensional morphable models (3DMMs) are powerful statistical tools for
representing the 3D shapes and textures of an object class. Here we present the most …

Object detection in equirectangular panorama

W Yang, Y Qian, JK Kämäräinen… - … conference on pattern …, 2018 - ieeexplore.ieee.org
We introduce a high-resolution equirectangular panorama (aka 360-degree, virtual reality,
VR) dataset for object detection and propose a multi-projection variant of the YOLO detector …