Deepfakes generation and detection: State-of-the-art, open challenges, countermeasures, and way forward

M Masood, M Nawaz, KM Malik, A Javed, A Irtaza… - Applied …, 2023 - Springer
Easy access to audio-visual content on social media, combined with the availability of
modern tools such as Tensorflow or Keras, and open-source trained models, along with …

State of the art on neural rendering

A Tewari, O Fried, J Thies, V Sitzmann… - Computer Graphics …, 2020 - Wiley Online Library
Efficient rendering of photo‐realistic virtual worlds is a long standing effort of computer
graphics. Modern graphics techniques have succeeded in synthesizing photo‐realistic …

Abaw: Valence-arousal estimation, expression recognition, action unit detection & multi-task learning challenges

D Kollias - Proceedings of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
This paper describes the third Affective Behavior Analysis in-the-wild (ABAW) Competition,
held in conjunction with IEEE International Conference on Computer Vision and Pattern …

Dynamic neural radiance fields for monocular 4d facial avatar reconstruction

G Gafni, J Thies, M Zollhofer… - Proceedings of the …, 2021 - openaccess.thecvf.com
We present dynamic neural radiance fields for modeling the appearance and dynamics of a
human face. Digitally modeling and reconstructing a talking human is a key building-block …

Neural head avatars from monocular rgb videos

PW Grassal, M Prinzler, T Leistner… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract We present Neural Head Avatars, a novel neural representation that explicitly
models the surface geometry and appearance of an animatable human avatar that can be …

Towards metrical reconstruction of human faces

W Zielonka, T Bolkart, J Thies - European conference on computer vision, 2022 - Springer
Face reconstruction and tracking is a building block of numerous applications in AR/VR,
human-machine interaction, as well as medical applications. Most of these applications rely …

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 …

[PDF][PDF] Protecting world leaders against deep fakes.

S Agarwal, H Farid, Y Gu, M He… - CVPR …, 2019 - openaccess.thecvf.com
The creation of sophisticated fake videos has been largely relegated to Hollywood studios or
state actors. Recent advances in deep learning, however, have made it significantly easier …

Neural voice puppetry: Audio-driven facial reenactment

J Thies, M Elgharib, A Tewari, C Theobalt… - Computer Vision–ECCV …, 2020 - Springer
Abstract We present Neural Voice Puppetry, a novel approach for audio-driven facial video
synthesis (Video, Code and Demo: https://justusthies. github. io/posts/neural-voice …

Masked relation learning for deepfake detection

Z Yang, J Liang, Y Xu, XY Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
DeepFake detection aims to differentiate falsified faces from real ones. Most approaches
formulate it as a binary classification problem by solely mining the local artifacts and …