112 citations · 632 across the 28 of their papers we have counts for
7 papers · 1 filter
DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data
Aljaž Božič, Michael Zollhöfer, Christian Theobalt +1
Applying data-driven approaches to non-rigid 3D reconstruction has been difficult, which we believe can be attributed to the lack of a large-scale training corpus. Unfortunately, t…
Neural Style-Preserving Visual Dubbing
Hyeongwoo Kim, Mohamed Elgharib, Michael Zollhöfer +4
Dubbing is a technique for translating video content from one language to another. However, state-of-the-art visual dubbing techniques directly copy facial expressions from source…
3D Morphable Face Models -- Past, Present and Future
Bernhard Egger, William A. P. Smith, Ayush Tewari +10
In this paper, we provide a detailed survey of 3D Morphable Face Models over the 20 years since they were first proposed. The challenges in building and applying these models, name…
Real-Time Global Illumination Decomposition of Videos
Abhimitra Meka, Mohammad Shafiei, Michael Zollhoefer +2
We propose the first approach for the decomposition of a monocular color video into direct and indirect illumination components in real time. We retrieve, in separate layers, the c…
Text-based Editing of Talking-head Video
Ohad Fried, Ayush Tewari, Michael Zollhöfer +7
Editing talking-head video to change the speech content or to remove filler words is challenging. We propose a novel method to edit talking-head video based on its transcript to pr…
DEMEA: Deep Mesh Autoencoders for Non-Rigidly Deforming Objects
Edgar Tretschk, Ayush Tewari, Michael Zollhöfer +2
Mesh autoencoders are commonly used for dimensionality reduction, sampling and mesh modeling. We propose a general-purpose DEep MEsh Autoencoder (DEMEA) which adds a novel embedded…
Deferred Neural Rendering: Image Synthesis using Neural Textures
Justus Thies, Michael Zollhöfer, Matthias Nießner
The modern computer graphics pipeline can synthesize images at remarkable visual quality; however, it requires well-defined, high-quality 3D content as input. In this work, we expl…