GIBLy is an architecture-agnostic lightweight layer that adds learnable geometric priors aligned with simple shapes to 3D semantic segmentation pipelines, delivering consistent mIoU gains (up to +11.5% on TS40K) with only 58K extra parameters.
Geometry-informed neural operator for large-scale 3d pdes.Advances in Neural Information Processing Systems, 36, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GIBLy: Improving 3D Semantic Segmentation through an Architecture-Agnostic Lightweight Geometric Inductive Bias Layer
GIBLy is an architecture-agnostic lightweight layer that adds learnable geometric priors aligned with simple shapes to 3D semantic segmentation pipelines, delivering consistent mIoU gains (up to +11.5% on TS40K) with only 58K extra parameters.