360 citations · 948 across the 22 of their papers we have counts for
10 papers · 1 filter
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
Guy Gafni, Justus Thies, Michael Zollhöfer +1
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 fo…
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3
We introduce Neural Deformation Graphs for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects. Specifically, we implicitly model a deformation grap…
ID-Reveal: Identity-aware DeepFake Video Detection
Davide Cozzolino, Andreas Rössler, Justus Thies +2
A major challenge in DeepFake forgery detection is that state-of-the-art algorithms are mostly trained to detect a specific fake method. As a result, these approaches show poor gen…
Face2Face: Real-time Face Capture and Reenactment of RGB Videos
Justus Thies, Michael Zollhöfer, Marc Stamminger +2
We present Face2Face, a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video st…
Learning Adaptive Sampling and Reconstruction for Volume Visualization
Sebastian Weiss, Mustafa Işık, Justus Thies +1
A central challenge in data visualization is to understand which data samples are required to generate an image of a data set in which the relevant information is encoded. In this…
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Hassan Abu Alhaija, Siva Karthik Mustikovela, Justus Thies +4
Neural rendering techniques promise efficient photo-realistic image synthesis while at the same time providing rich control over scene parameters by learning the physical image for…