13 citations · 23 across the 4 of their papers we have counts for
8 papers
Sampling Based Scene-Space Video Processing
Felix Klose, Oliver Wang, Jean-Charles Bazin +2
Many compelling video processing effects can be achieved if per-pixel depth information and 3D camera calibrations are known. However, the success of such methods is highly depende…
High-Fidelity Neural Human Motion Transfer from Monocular Video
Moritz Kappel, Vladislav Golyanik, Mohamed Elgharib +5
Video-based human motion transfer creates video animations of humans following a source motion. Current methods show remarkable results for tightly-clad subjects. However, the lack…
Learning to Reconstruct People in Clothing from a Single RGB Camera
Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar +2
We present a learning-based model to infer the personalized 3D shape of people from a few frames (1-8) of a monocular video in which the person is moving, in less than 10 seconds w…
Tex2Shape: Detailed Full Human Body Geometry From a Single Image
Thiemo Alldieck, Gerard Pons-Moll, Christian Theobalt +1
We present a simple yet effective method to infer detailed full human body shape from only a single photograph. Our model can infer full-body shape including face, hair, and clothi…
Augmenting the fine beam tube: From hybrid measurements to magnetic field visualization
Oliver Bodensiek, Doerte Sonntag, Nils Wendorff +2
We present an Augmented Reality (AR) enhanced and networked fine beam tube experiment for undergraduate physics education. In order to determine the charge-to-mass ratio of the ele…
Detailed Human Avatars from Monocular Video
Thiemo Alldieck, Marcus Magnor, Weipeng Xu +2
We present a novel method for high detail-preserving human avatar creation from monocular video. A parameterized body model is refined and optimized to maximally resemble subjects…