3D Geometry Perception
4 papers with code • 0 benchmarks • 3 datasets
Image: Zhao et al
Benchmarks
These leaderboards are used to track progress in 3D Geometry Perception
OmniObject3D
EUEN17037_Daylight_and_View_Standard_TestDataSet
FEE Corridor
Most implemented papers
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
mengyuest/SIGNet
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CVPR 2019
SIGNet is shown to improve upon the state-of-the-art unsupervised learning for depth prediction by 30% (in squared relative error).
3D Point Capsule Networks
yongheng1991/3D-point-capsule-networks
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CVPR 2019
In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.
ACSC: Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
Recently, the rapid development of Solid-State LiDAR (SSL) enables low-cost and efficient obtainment of 3D point clouds from the environment, which has inspired a large quantity of studies and applications.
ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes
brown-ivl/ConDor
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CVPR 2022
ConDor is a self-supervised method that learns to Canonicalize the 3D orientation and position for full and partial 3D point clouds.
