SuperFlex extends superquadrics with deformations and a new loss for higher-accuracy point cloud decomposition and trains a model robust to partial real-world data.
In: International Conference on Computer Vision and Pattern Recognition (CVPR) (2019) 2
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
-
SuperFlex: Deformable Superquadrics for Point Cloud Decomposition
SuperFlex extends superquadrics with deformations and a new loss for higher-accuracy point cloud decomposition and trains a model robust to partial real-world data.