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3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining

3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining

14 April 2023
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
    3DPC
ArXivPDFHTML

Papers citing "3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining"

16 / 16 papers shown
Title
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
Pedro Hermosilla
Christian Stippel
Leon Sick
SSL
3DPC
79
0
0
09 Apr 2025
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos
Zhi Zuo
Chenyi Zhuang
Zhiqiang Shen
Pan Gao
Jie Qin
3DPC
32
0
0
07 Apr 2025
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked
  Autoencoders
Block-to-Scene Pre-training for Point Cloud Hybrid-Domain Masked Autoencoders
Yaohua Zha
Tao Dai
Yanzi Wang
Hang Guo
Taolin Zhang
Zhihao Ouyang
Chunlin Fan
B. Chen
Ke Chen
Shu-Tao Xia
3DPC
28
1
0
13 Oct 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding
Yunze Man
Shuhong Zheng
Zhipeng Bao
M. Hebert
Liang-Yan Gui
Yu-xiong Wang
72
15
0
05 Sep 2024
MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local
  Reference Frames for Rotation-invariant 3D Point Set Analysis
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
Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene
  Understanding
Swin3D++: Effective Multi-Source Pretraining for 3D Indoor Scene Understanding
Yu-Qi Yang
Yufeng Guo
Yang Liu
3DPC
38
2
0
22 Feb 2024
Instance-aware 3D Semantic Segmentation powered by Shape Generators and
  Classifiers
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers
Bo Sun
Qixing Huang
Xiangru Huang
3DV
3DPC
30
0
0
21 Nov 2023
EEG-based Cognitive Load Classification using Feature Masked
  Autoencoding and Emotion Transfer Learning
EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning
Dustin Pulver
Prithila Angkan
Paul Hungler
Ali Etemad
32
5
0
01 Aug 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Siming Yan
Chen Song
Youkang Kong
Qi-Xing Huang
3DPC
31
2
0
05 Jun 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
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
178
244
0
28 May 2022
Implicit Autoencoder for Point-Cloud Self-Supervised Representation
  Learning
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
Siming Yan
Zhenpei Yang
Haoxiang Li
Chen Song
Li Guan
Hao Kang
G. Hua
Qi-Xing Huang
3DPC
43
61
0
03 Jan 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Self-Supervised Pretraining of 3D Features on any Point-Cloud
Zaiwei Zhang
Rohit Girdhar
Armand Joulin
Ishan Misra
3DPC
126
268
0
07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
141
622
0
21 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
222
14,099
0
02 Dec 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D
  Generative-Adversarial Modeling
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
Jiajun Wu
Chengkai Zhang
Tianfan Xue
Bill Freeman
J. Tenenbaum
GAN
171
1,940
0
24 Oct 2016
1