Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids

1 code implementation • CVPR 2019 • Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger

Abstracting complex 3D shapes with parsimonious part-based representations has been a long standing goal in computer vision.

RayNet: Learning Volumetric 3D Reconstruction with Ray Potentials

1 code implementation • CVPR 2018 • Despoina Paschalidou, Ali Osman Ulusoy, Carolin Schmitt, Luc van Gool, Andreas Geiger

RayNet integrates a CNN that learns view-invariant feature representations with an MRF that explicitly encodes the physics of perspective projection and occlusion.

3D Reconstruction

Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels

no code implementations • CVPR 2017 • Ali Osman Ulusoy, Michael J. Black, Andreas Geiger

Due to its probabilistic nature, the approach is able to cope with the approximate geometry of the 3D models as well as input shapes that are not present in the scene.

3D Reconstruction

OctNetFusion: Learning Depth Fusion from Data

1 code implementation • 4 Apr 2017 • Gernot Riegler, Ali Osman Ulusoy, Horst Bischof, Andreas Geiger

In this paper, we present a learning based approach to depth fusion, i. e., dense 3D reconstruction from multiple depth images.

3D Reconstruction

OctNet: Learning Deep 3D Representations at High Resolutions

1 code implementation • CVPR 2017 • Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger

We present OctNet, a representation for deep learning with sparse 3D data.

3D Object Classification General Classification +1

Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction

no code implementations • CVPR 2016 • Ali Osman Ulusoy, Michael J. Black, Andreas Geiger

In this paper, we propose a non-local structured prior for volumetric multi-view 3D reconstruction.

3D Reconstruction Multi-View 3D Reconstruction