337 citations · 1.3k across the 62 of their papers we have counts for
23 papers · 1 filter
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
Norman Müller, Yu-Shiang Wong, Niloy J. Mitra +2
Multi-object tracking from RGB-D video sequences is a challenging problem due to the combination of changing viewpoints, motion, and occlusions over time. We observe that having th…
Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction
Guy Gafni, Justus Thies, Michael Zollhöfer +1
We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face. Digitally modeling and reconstructing a talking human is a key building-block fo…
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans
Dave Zhenyu Chen, Ali Gholami, Matthias Nießner +1
We introduce the task of dense captioning in 3D scans from commodity RGB-D sensors. As input, we assume a point cloud of a 3D scene; the expected output is the bounding boxes along…
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
Aljaž Božič, Pablo Palafox, Michael Zollhöfer +3
We introduce Neural Deformation Graphs for globally-consistent deformation tracking and 3D reconstruction of non-rigid objects. Specifically, we implicitly model a deformation grap…
SceneFormer: Indoor Scene Generation with Transformers
Xinpeng Wang, Chandan Yeshwanth, Matthias Nießner
We address the task of indoor scene generation by generating a sequence of objects, along with their locations and orientations conditioned on a room layout. Large-scale indoor sce…
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
Ji Hou, Benjamin Graham, Matthias Nießner +1
The rapid progress in 3D scene understanding has come with growing demand for data; however, collecting and annotating 3D scenes (e.g. point clouds) are notoriously hard. For examp…