31 citations · 95 across the 39 of their papers we have counts for
5 papers · 1 filter
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
Aljaž Božič, Pablo Palafox, Justus Thies +2
We introduce TransformerFusion, a transformer-based 3D scene reconstruction approach. From an input monocular RGB video, the video frames are processed by a transformer network tha…
Neural RGB-D Surface Reconstruction
Dejan Azinović, Ricardo Martin-Brualla, Dan B Goldman +2
Obtaining high-quality 3D reconstructions of room-scale scenes is of paramount importance for upcoming applications in AR or VR. These range from mixed reality applications for tel…
Dynamic Surface Function Networks for Clothed Human Bodies
Andrei Burov, Matthias Nießner, Justus Thies
We present a novel method for temporal coherent reconstruction and tracking of clothed humans. Given a monocular RGB-D sequence, we learn a person-specific body model which is base…
NPMs: Neural Parametric Models for 3D Deformable Shapes
Pablo Palafox, Aljaž Božič, Justus Thies +2
Parametric 3D models have enabled a wide variety of tasks in computer graphics and vision, such as modeling human bodies, faces, and hands. However, the construction of these param…
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
Yawar Siddiqui, Justus Thies, Fangchang Ma +3
3D reconstruction of large scenes is a challenging problem due to the high-complexity nature of the solution space, in particular for generative neural networks. In contrast to tra…