526 citations · 3.1k across the 107 of their papers we have counts for
19 papers · 1 filter
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
Dave Zhenyu Chen, Angel X. Chang, Matthias Nießner
We introduce the task of 3D object localization in RGB-D scans using natural language descriptions. As input, we assume a point cloud of a scanned 3D scene along with a free-form d…
Neural Voice Puppetry: Audio-driven Facial Reenactment
Justus Thies, Mohamed Elgharib, Ayush Tewari +2
We present Neural Voice Puppetry, a novel approach for audio-driven facial video synthesis. Given an audio sequence of a source person or digital assistant, we generate a photo-rea…
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…
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
Angela Dai, Christian Diller, Matthias Nießner
We present a novel approach that converts partial and noisy RGB-D scans into high-quality 3D scene reconstructions by inferring unobserved scene geometry. Our approach is fully sel…
SpoC: Spoofing Camera Fingerprints
Davide Cozzolino, Justus Thies, Andreas Rössler +2
Thanks to the fast progress in synthetic media generation, creating realistic false images has become very easy. Such images can be used to wrap "rich" fake news with enhanced cred…
ViewAL: Active Learning with Viewpoint Entropy for Semantic Segmentation
Yawar Siddiqui, Julien Valentin, Matthias Nießner
We propose ViewAL, a novel active learning strategy for semantic segmentation that exploits viewpoint consistency in multi-view datasets. Our core idea is that inconsistencies in m…