51 citations · 53 across the 5 of their papers we have counts for
20 papers
AutoAvatar: Autoregressive Neural Fields for Dynamic Avatar Modeling
Ziqian Bai, Timur Bagautdinov, Javier Romero +3
Neural fields such as implicit surfaces have recently enabled avatar modeling from raw scans without explicit temporal correspondences. In this work, we exploit autoregressive mode…
NRST: Non-rigid Surface Tracking from Monocular Video
Marc Habermann, Weipeng Xu, Helge Rhodin +3
We propose an efficient method for non-rigid surface tracking from monocular RGB videos. Given a video and a template mesh, our algorithm sequentially registers the template non-ri…
Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video
Edgar Tretschk, Ayush Tewari, Vladislav Golyanik +3
We present Non-Rigid Neural Radiance Fields (NR-NeRF), a reconstruction and novel view synthesis approach for general non-rigid dynamic scenes. Our approach takes RGB images of a d…
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…
StyleRig: Rigging StyleGAN for 3D Control over Portrait Images
Ayush Tewari, Mohamed Elgharib, Gaurav Bharaj +5
StyleGAN generates photorealistic portrait images of faces with eyes, teeth, hair and context (neck, shoulders, background), but lacks a rig-like control over semantic face paramet…
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…