526 citations · 1.4k across the 51 of their papers we have counts for
4 papers · 1 filter
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…
Joint Embedding of 3D Scan and CAD Objects
Manuel Dahnert, Angela Dai, Leonidas Guibas +1
3D scan geometry and CAD models often contain complementary information towards understanding environments, which could be leveraged through establishing a mapping between the two…
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans
Armen Avetisyan, Angela Dai, Matthias Nießner
We present a novel, end-to-end approach to align CAD models to an 3D scan of a scene, enabling transformation of a noisy, incomplete 3D scan to a compact, CAD reconstruction with c…
RevealNet: Seeing Behind Objects in RGB-D Scans
Ji Hou, Angela Dai, Matthias Nießner
During 3D reconstruction, it is often the case that people cannot scan each individual object from all views, resulting in missing geometry in the captured scan. This missing geome…