Tutorials & Demos
2020
BIDT: Echt oder?
What is the impact of DeepFakes on our society? How does it change our view on digital media? Is the technology a danger or a chance?
2020, Oct 20 — 2 minute readWIPO: Artifical Intelligence and Intellectual Property
This virtual exhibition presents current approaches of AI-driven media creation. It raises interesting questions regarding intellectual property.
2020, Sep 18 — 1 minute readCVPR 2020 - Tutorial on Neural Rendering
Neural rendering is a new and rapidly emerging field that combines generative machine learning techniques with physical knowledge from computer graphics, e.g., by the integration of differentiable rendering into network training. This state-of-the-art report summarizes the recent trends and applications of neural rendering.
2020, Apr 08 — 1 minute read [Paper] [Video] [Bibtex]CVPR 2020 - Workshop on Media Forensics
This CVPR workshop covers the advances on all fronts of media forensics: from detection of manipulations, biometric implications, misrepresentation/spoofing, etc.
2020, Apr 08 — 1 minute read2019
Cabinet Meeting: Synthetic Media - Danger or Opportunity?
In this session we showed several demonstrations of our current projects, to inform the Cabinet of Germany about the risks and the opportunities of synthetic media.
2019, Nov 18 — 1 minute read2018
EU Commission: Live Demo of Face2Face
Invited by the EU Commission, we showed a demo for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The topic of the conference was how to protect the election process (EU elections 2019) against interference from outside (cyber crime, fake news).
2018, Oct 02 — 1 minute read [Paper] [Video] [Bibtex]ECCV 2018: Tutorial on Face Tracking and its Applications
This invited tutorial is about monocular face tracking techniques and also discusses the possible applications. It is based on our Eurographics state-of-the-art report.
2018, Sep 08 — 1 minute read [Paper] [Bibtex]Eurographics 2018: State of the Art on Monocular 3D Face Reconstruction, Tracking, and Applications
This state-of-the-art report session summarizes recent trends in monocular facial performance capture and discusses its applications, which range from performance-based animation to real-time facial reenactment. We focus on methods where the central task is to recover and track a three dimensional model of the human face using optimization-based reconstruction algorithms.
2018, Apr 24 — 1 minute read [Paper] [Bibtex]2017
SIGGRAPH Emerging Technologies: Demo of FaceVR
We present a novel method for the interactive markerless reconstruction of human heads using a single commodity RGB‐D sensor. Our entire reconstruction pipeline is implemented on the graphics processing unit and allows to obtain high‐quality reconstructions of the human head using an interactive and intuitive reconstruction paradigm.
2017, Aug 03 — 1 minute read [Paper] [Video] [Bibtex]2016
FaceInCar Demo at the National IT Summit 2016
We demonstrate the capabilities of the dense face fitting proposed in Face2Face in the challenging scenario of face tracking in a car including occlusions and strong varying light situations.
2016, Nov 17 — 2 minute readSIGGRAPH Emerging Technologies: Real-time Face Capture and Reenactment of RGB Videos
We show a demo for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). Our goal is to animate the facial expressions of a target video by a source actor and re-render the manipulated output video in a photo-realistic fashion.
2016, Jul 28 — 1 minute read [Paper] [Video] [Bibtex]Live-demo of Face2Face in the Jimmy Kimmel Show
We also showed a live demo of our Face2Face approach in the Jimmy Kimmel Show. Using a standard webcam, Jimmy Kimmel reenacts a video of Mike Tyson and others.
2016, Apr 28 — 1 minute read [Paper] [Bibtex]GPU Technology Conference: Interactive Demo of Face2Face
Nvidia invited us to show a demo for our real-time facial reenactment system (Face2Face). Our goal is to animate the facial expressions of a target video by a source actor and re-render the manipulated output video in a photo-realistic fashion.
2016, Apr 07 — 1 minute read [Paper] [Video] [Bibtex]