Search Results for author: Manuel Dahnert

Found 3 papers, 3 papers with code

Panoptic 3D Scene Reconstruction From a Single RGB Image

1 code implementation NeurIPS 2021 Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai

Inspired by 2D panoptic segmentation, we propose to unify the tasks of geometric reconstruction, 3D semantic segmentation, and 3D instance segmentation into the task of panoptic 3D scene reconstruction - from a single RGB image, predicting the complete geometric reconstruction of the scene in the camera frustum of the image, along with semantic and instance segmentations.

3D Instance Segmentation 3D Scene Reconstruction +5

Joint Embedding of 3D Scan and CAD Objects

1 code implementation ICCV 2019 Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner

We propose a novel approach to learn a joint embedding space between scan and CAD geometry, where semantically similar objects from both domains lie close together.

Retrieval

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

2 code implementations CVPR 2019 Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner

For a 3D reconstruction of an indoor scene, our method takes as input a set of CAD models, and predicts a 9DoF pose that aligns each model to the underlying scan geometry.

3D Reconstruction

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