112 citations · 243 across the 9 of their papers we have counts for
10 papers
Improving HEVC Encoding of Rendered Video Data Using True Motion Information
Christian Herglotz, David Müller, Andreas Weinlich +4
This paper shows that motion vectors representing the true motion of an object in a scene can be exploited to improve the encoding process of computer generated video sequences. Th…
CherryPicker: Semantic Skeletonization and Topological Reconstruction of Cherry Trees
Lukas Meyer, Andreas Gilson, Oliver Scholz +1
In plant phenotyping, accurate trait extraction from 3D point clouds of trees is still an open problem. For automatic modeling and trait extraction of tree organs such as blossoms…
ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
Vanessa Wirth, Anna-Maria Liphardt, Birte Coppers +8
Despite their potential, markerless hand tracking technologies are not yet applied in practice to the diagnosis or monitoring of the activity in inflammatory musculoskeletal diseas…
ADOP: Approximate Differentiable One-Pixel Point Rendering
Darius Rückert, Linus Franke, Marc Stamminger
In this paper we present ADOP, a novel point-based, differentiable neural rendering pipeline. Like other neural renderers, our system takes as input calibrated camera images and a…
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…
NRMVS: Non-Rigid Multi-View Stereo
Matthias Innmann, Kihwan Kim, Jinwei Gu +4
Scene reconstruction from unorganized RGB images is an important task in many computer vision applications. Multi-view Stereo (MVS) is a common solution in photogrammetry applicati…
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…
FaceVR: Real-Time Facial Reenactment and Eye Gaze Control in Virtual Reality
Justus Thies, Michael Zollhöfer, Marc Stamminger +2
We propose FaceVR, a novel image-based method that enables video teleconferencing in VR based on self-reenactment. State-of-the-art face tracking methods in the VR context are focu…
VolumeDeform: Real-time Volumetric Non-rigid Reconstruction
Matthias Innmann, Michael Zollhöfer, Matthias Nießner +2
We present a novel approach for the reconstruction of dynamic geometric shapes using a single hand-held consumer-grade RGB-D sensor at real-time rates. Our method does not require…