360 citations · 948 across the 22 of their papers we have counts for
6 papers · 1 filter
ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Davide Cozzolino, Justus Thies, Andreas Rössler +3
Distinguishing manipulated from real images is becoming increasingly difficult as new sophisticated image forgery approaches come out by the day. Naive classification approaches ba…
DeepVoxels: Learning Persistent 3D Feature Embeddings
Vincent Sitzmann, Justus Thies, Felix Heide +3
In this work, we address the lack of 3D understanding of generative neural networks by introducing a persistent 3D feature embedding for view synthesis. To this end, we propose Dee…
IGNOR: Image-guided Neural Object Rendering
Justus Thies, Michael Zollhöfer, Christian Theobalt +2
We propose a learned image-guided rendering technique that combines the benefits of image-based rendering and GAN-based image synthesis. The goal of our method is to generate photo…
HeadOn: Real-time Reenactment of Human Portrait Videos
Justus Thies, Michael Zollhöfer, Christian Theobalt +2
We propose HeadOn, the first real-time source-to-target reenactment approach for complete human portrait videos that enables transfer of torso and head motion, face expression, and…
Deep Video Portraits
Hyeongwoo Kim, Pablo Garrido, Ayush Tewari +7
We present a novel approach that enables photo-realistic re-animation of portrait videos using only an input video. In contrast to existing approaches that are restricted to manipu…
FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces
Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3
With recent advances in computer vision and graphics, it is now possible to generate videos with extremely realistic synthetic faces, even in real time. Countless applications are…