Masked Autoencoders in 3D Point Cloud Representation Learning

4 July 2022

Papers citing "Masked Autoencoders in 3D Point Cloud Representation Learning"

8 / 8 papers shown

Title
GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3D Ali Bahri Moslem Yazdanpanah Mehrdad Noori Milad Cheraghalikhani G. A. V. Hakim David Osowiechi Farzad Beizaee Ismail Ben Ayed Christian Desrosiers 3DPC 68 1 0 20 May 2024
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders Renrui Zhang Liuhui Wang Yu Qiao Peng Gao Hongsheng Li 3DPC 28 124 0 13 Dec 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 171 241 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 109 193 0 18 Oct 2019
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 147 760 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016