A survey on deepfake video detection

P Yu, Z **a, J Fei, Y Lu - Iet Biometrics, 2021‏ - Wiley Online Library
Recently, deepfake videos, generated by deep learning algorithms, have attracted
widespread attention. Deepfake technology can be used to perform face manipulation with …

The creation and detection of deepfakes: A survey

Y Mirsky, W Lee - ACM computing surveys (CSUR), 2021‏ - dl.acm.org
Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …

Im avatar: Implicit morphable head avatars from videos

Y Zheng, VF Abrevaya, MC Bühler… - Proceedings of the …, 2022‏ - openaccess.thecvf.com
Traditional 3D morphable face models (3DMMs) provide fine-grained control over
expression but cannot easily capture geometric and appearance details. Neural volumetric …

One-shot free-view neural talking-head synthesis for video conferencing

TC Wang, A Mallya, MY Liu - Proceedings of the IEEE/CVF …, 2021‏ - openaccess.thecvf.com
We propose a neural talking-head video synthesis model and demonstrate its application to
video conferencing. Our model learns to synthesize a talking-head video using a source …

Reconstructing personalized semantic facial nerf models from monocular video

X Gao, C Zhong, J **ang, Y Hong, Y Guo… - ACM Transactions on …, 2022‏ - dl.acm.org
We present a novel semantic model for human head defined with neural radiance field. The
3D-consistent head model consist of a set of disentangled and interpretable bases, and can …

Avatarrex: Real-time expressive full-body avatars

Z Zheng, X Zhao, H Zhang, B Liu, Y Liu - ACM Transactions on Graphics …, 2023‏ - dl.acm.org
We present AvatarReX, a new method for learning NeRF-based full-body avatars from video
data. The learnt avatar not only provides expressive control of the body, hands and the face …

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 …

Authentic volumetric avatars from a phone scan

C Cao, T Simon, JK Kim, G Schwartz… - ACM Transactions on …, 2022‏ - dl.acm.org
Creating photorealistic avatars of existing people currently requires extensive person-
specific data capture, which is usually only accessible to the VFX industry and not the …

Accurate 3d face reconstruction with weakly-supervised learning: From single image to image set

Y Deng, J Yang, S Xu, D Chen… - Proceedings of the …, 2019‏ - openaccess.thecvf.com
Recently, deep learning based 3D face reconstruction methods have shown promising
results in both quality and efficiency. However, training deep neural networks typically …

Facescape: a large-scale high quality 3d face dataset and detailed riggable 3d face prediction

H Yang, H Zhu, Y Wang, M Huang… - Proceedings of the …, 2020‏ - openaccess.thecvf.com
In this paper, we present a large-scale detailed 3D face dataset, FaceScape, and propose a
novel algorithm that is able to predict elaborate riggable 3D face models from a single image …