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Found 7 papers, 1 papers with code
NeuralBF: Neural Bilateral Filtering for Top-down Instance Segmentation on Point Clouds
We introduce a method for instance proposal generation for 3D point clouds.
Deep Medial Fields
Implicit representations of geometry, such as occupancy fields or signed distance fields (SDF), have recently re-gained popularity in encoding 3D solid shape in a functional form.
Canonical Capsules: Self-Supervised Capsules in Canonical Pose
We propose a self-supervised capsule architecture for 3D point clouds.
Unsupervised part representation by Flow Capsules
Capsule networks aim to parse images into a hierarchy of objects, parts and relations.
DeRF: Decomposed Radiance Fields
Moreover, we show that a Voronoi spatial decomposition is preferable for this purpose, as it is provably compatible with the Painter's Algorithm for efficient and GPU-friendly rendering.
Voronoi Convolutional Neural Networks
In this technical report, we investigate extending convolutional neural networks to the setting where functions are not sampled in a grid pattern.
CvxNet: Learnable Convex Decomposition
We introduce a network architecture to represent a low dimensional family of convexes.
