112 citations · 632 across the 28 of their papers we have counts for
9 papers · 1 filter
FML: Face Model Learning from Videos
Ayush Tewari, Florian Bernard, Pablo Garrido +6
Monocular image-based 3D reconstruction of faces is a long-standing problem in computer vision. Since image data is a 2D projection of a 3D face, the resulting depth ambiguity make…
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…
LiveCap: Real-time Human Performance Capture from Monocular Video
Marc Habermann, Weipeng Xu, Michael Zollhoefer +2
We present the first real-time human performance capture approach that reconstructs dense, space-time coherent deforming geometry of entire humans in general everyday clothing from…
Neural Rendering and Reenactment of Human Actor Videos
Lingjie Liu, Weipeng Xu, Michael Zollhoefer +5
We propose a method for generating video-realistic animations of real humans under user control. In contrast to conventional human character rendering, we do not require the availa…
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…
Mo2Cap2: Real-time Mobile 3D Motion Capture with a Cap-mounted Fisheye Camera
Weipeng Xu, Avishek Chatterjee, Michael Zollhoefer +4
We propose the first real-time approach for the egocentric estimation of 3D human body pose in a wide range of unconstrained everyday activities. This setting has a unique set of c…
LIME: Live Intrinsic Material Estimation
Abhimitra Meka, Maxim Maximov, Michael Zollhoefer +4
We present the first end to end approach for real time material estimation for general object shapes with uniform material that only requires a single color image as input. In addi…