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Implicit Autoencoder for Point-Cloud Self-Supervised Representation
  Learning

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning

3 January 2022
Siming Yan
Zhenpei Yang
Haoxiang Li
Chen Song
Li Guan
Hao Kang
G. Hua
Qi-Xing Huang
    3DPC
ArXivPDFHTML

Papers citing "Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning"

22 / 22 papers shown
Title
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
CLAP: Unsupervised 3D Representation Learning for Fusion 3D Perception via Curvature Sampling and Prototype Learning
Runjian Chen
H. Zhang
Avinash Ravichandran
Wenqi Shao
Alex Wong
Ping Luo
Ping Luo
3DPC
77
0
0
04 Dec 2024
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
PonderV2: Pave the Way for 3D Foundation Model with A Universal Pre-training Paradigm
Haoyi Zhu
Honghui Yang
Xiaoyang Wu
Di Huang
Sha Zhang
...
Hengshuang Zhao
Chunhua Shen
Yu Qiao
Tong He
Wanli Ouyang
SSL
69
43
0
12 Oct 2023
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene
  Reconstruction
SGRec3D: Self-Supervised 3D Scene Graph Learning via Object-Level Scene Reconstruction
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
3DPC
SSL
35
13
0
27 Sep 2023
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
PatchContrast: Self-Supervised Pre-training for 3D Object Detection
Oren Shrout
Ori Nitzan
Yizhak Ben-Shabat
A. Tal
3DPC
50
2
0
14 Aug 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learning
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
11
2
0
11 Jul 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
29
15
0
14 Apr 2023
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex
  Constraints for Multimodel Image Alignment
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Yiqing Zhang
Xinming Huang
Ziming Zhang
32
4
0
21 Mar 2023
Ponder: Point Cloud Pre-training via Neural Rendering
Ponder: Point Cloud Pre-training via Neural Rendering
Di Huang
Sida Peng
Tong He
Honghui Yang
Xiaowei Zhou
Wanli Ouyang
SSL
3DPC
34
41
0
31 Dec 2022
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
3D Point Cloud Pre-training with Knowledge Distillation from 2D Images
Yuan Yao
Yuanhan Zhang
Zhen-fei Yin
Jiebo Luo
Wanli Ouyang
Xiaoshui Huang
3DPC
27
10
0
17 Dec 2022
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field
  Function for Shape Repair
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
N. Lamb
Sean Banerjee
N. Banerjee
3DV
27
7
0
22 Nov 2022
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds
Haiyang Wang
Lihe Ding
Shaocong Dong
Shaoshuai Shi
Aoxue Li
Jianan Li
Zhenguo Li
Liwei Wang
3DPC
137
67
0
09 Oct 2022
SeRP: Self-Supervised Representation Learning Using Perturbed Point
  Clouds
SeRP: Self-Supervised Representation Learning Using Perturbed Point Clouds
Siddhant Garg
Mudit Chaudhary
3DPC
31
2
0
13 Sep 2022
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
171
244
0
28 May 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds
Junsheng Zhou
Xin Wen
Baorui Ma
Yu-Shen Liu
Yue Gao
Yi Fang
Zhizhong Han
3DPC
28
17
0
26 Mar 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised Learning
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
W. Liu
Yonghong Tian
Liuliang Yuan
3DPC
ViT
31
452
0
13 Mar 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
296
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
120
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
139
621
0
21 Jul 2020
Convolutional Occupancy Networks
Convolutional Occupancy Networks
Songyou Peng
Michael Niemeyer
L. Mescheder
Marc Pollefeys
Andreas Geiger
3DV
AI4CE
212
971
0
10 Mar 2020
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
109
193
0
18 Oct 2019
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
14,087
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
166
1,940
0
24 Oct 2016
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