Learning an Effective Equivariant 3D Descriptor Without Supervision

15 September 2019

Papers citing "Learning an Effective Equivariant 3D Descriptor Without Supervision"

6 / 6 papers shown

Title
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis Takahiko Furuya 3DPC 43 2 0 01 Mar 2024
Equivariant Point Network for 3D Point Cloud Analysis Haiwei Chen Shichen Liu Weikai Chen Hao Li 3DPC 19 99 0 25 Mar 2021
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks Junming Zhang Ming-Yuan Yu Ram Vasudevan Matthew Johnson-Roberson 3DPC 34 24 0 02 Jan 2021
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration Sheng Ao Qingyong Hu Bo Yang Andrew Markham Yulan Guo 3DPC OOD 42 273 0 24 Nov 2020
Learning to Orient Surfaces by Self-supervised Spherical CNNs Riccardo Spezialetti Federico Stella M. Marcon Luciano Silva Samuele Salti Luigi Di Stefano 11 40 0 06 Nov 2020
Quaternion Equivariant Capsule Networks for 3D Point Clouds Yongheng Zhao Tolga Birdal J. E. Lenssen Emanuele Menegatti Leonidas J. Guibas Federico Tombari 3DPC 26 88 0 27 Dec 2019