ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2201.00785
  4. Cited By
Implicit Autoencoder for Point-Cloud Self-Supervised Representation
  Learning
v1v2v3v4v5 (latest)

Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning

IEEE International Conference on Computer Vision (ICCV), 2022
3 January 2022
Siming Yan
Zhenpei Yang
Haoxiang Li
Chen Song
Li Guan
Hao Kang
G. Hua
Qi-Xing Huang
    3DPC
ArXiv (abs)PDFHTMLGithub (102★)

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

43 / 43 papers shown
Conditional Representation Learning for Customized Tasks
Conditional Representation Learning for Customized Tasks
Honglin Liu
Chao Sun
Peng Hu
Yunfan Li
Xi Peng
208
2
0
06 Oct 2025
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding
Liwen Liu
Weidong Yang
Lipeng Ma
Ben Fei
3DPC
252
0
0
23 Jul 2025
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian SplattingComputer Vision and Pattern Recognition (CVPR), 2025
Ziyi Wang
Yanran Zhang
Jie Zhou
Jiwen Lu
3DPC3DGS
289
9
0
11 Jun 2025
The quest for the GRAph Level autoEncoder (GRALE)
The quest for the GRAph Level autoEncoder (GRALE)
Paul Krzakala
Gabriel Melo
Charlotte Laclau
Florence dÁlché-Buc
Rémi Flamary
406
2
0
28 May 2025
Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning
Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning
Zhongyu Chen
Rong Zhao
Xie Han
Xindong Guo
Song Wang
Zherui Qiao
3DPC
348
1
0
20 May 2025
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
Han Zhang
Avinash Ravichandran
Wenqi Shao
Alex Wong
Ping Luo
Ping Luo
3DPC
546
1
0
04 Dec 2024
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Point Cloud Unsupervised Pre-training via 3D Gaussian Splatting
Hao Liu
Minglin Chen
Yanni Ma
Haihong Xiao
Ying He
3DGS3DPC
328
2
0
27 Nov 2024
PointCG: Self-supervised Point Cloud Learning via Joint Completion and
  Generation
PointCG: Self-supervised Point Cloud Learning via Joint Completion and GenerationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2024
Yi Liu
Peng Li
Xuefeng Yan
Liangliang Nan
Bing Wang
Honghua Chen
Lina Gong
Wei Zhao
Mingqiang Wei
SSL3DPC
182
3
0
09 Nov 2024
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse
  View Synthesis
Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View SynthesisNeural Information Processing Systems (NeurIPS), 2024
Liang Han
Junsheng Zhou
Yu-Shen Liu
Zhizhong Han
3DGS
382
37
0
24 Oct 2024
Triple Point Masking
Triple Point Masking
Jiaming Liu
Linghe Kong
Yue Wu
Maoguo Gong
Hao Li
Qiguang Miao
Wenping Ma
Can Qin
3DPC
332
1
0
26 Sep 2024
Multi-modal Relation Distillation for Unified 3D Representation Learning
Multi-modal Relation Distillation for Unified 3D Representation Learning
Huiqun Wang
Yiping Bao
Panwang Pan
Zeming Li
Xiao Liu
Ruijie Yang
Di Huang
280
4
0
19 Jul 2024
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation
  Learning for Neural Radiance Fields
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
Muhammad Zubair Irshad
Sergey Zakahrov
Vitor Campagnolo Guizilini
Adrien Gaidon
Z. Kira
Rares Andrei Ambrus
ViT
402
25
0
01 Apr 2024
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
ViGoR: Improving Visual Grounding of Large Vision Language Models with Fine-Grained Reward Modeling
Siming Yan
Min Bai
Weifeng Chen
Xiong Zhou
Qixing Huang
Erran L. Li
VLM
482
34
0
09 Feb 2024
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds
3D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds
Lakshika Rathi
Edith Tretschk
Christian Theobalt
Rishabh Dabral
Vladislav Golyanik
3DPC
214
6
0
09 Nov 2023
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
749
60
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 ReconstructionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Sebastian Koch
Pedro Hermosilla
Narunas Vaskevicius
Mirco Colosi
Timo Ropinski
3DPCSSL
276
27
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
277
5
0
14 Aug 2023
Self-supervised adversarial masking for 3D point cloud representation
  learning
Self-supervised adversarial masking for 3D point cloud representation learningAsian Conference on Intelligent Information and Database Systems (ACIIDS), 2023
Michal Szachniewicz
Wojciech Kozlowski
Michal Stypulkowski
Maciej Ziȩba
3DPC
220
2
0
11 Jul 2023
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models
Segment Any Point Cloud Sequences by Distilling Vision Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023
You-Chen Liu
Lingdong Kong
Jun Cen
Runnan Chen
Wenwei Zhang
Liang Pan
Kai-xiang Chen
Ziwei Liu
349
149
0
15 Jun 2023
Multi-View Representation is What You Need for Point-Cloud Pre-Training
Multi-View Representation is What You Need for Point-Cloud Pre-TrainingInternational Conference on Learning Representations (ICLR), 2023
Siming Yan
Chen Song
Youkang Kong
Qi-Xing Huang
3DPC
610
6
0
05 Jun 2023
GTNet: Graph Transformer Network for 3D Point Cloud Classification and
  Semantic Segmentation
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation
Wei Zhou
Qian Wang
Weiwei Jin
X. Shi
Yong Yu
ViT3DPC
314
7
0
24 May 2023
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene
  Understanding
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene UnderstandingComputer Vision and Pattern Recognition (CVPR), 2023
Li Jiang
Zetong Yang
Shaoshuai Shi
Vladislav Golyanik
Dengxin Dai
Bernt Schiele
3DPC
306
14
0
08 May 2023
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Self-supervised Learning for Pre-Training 3D Point Clouds: A Survey
Ben Fei
Weidong Yang
Liwen Liu
Tian-jian Luo
Rui Zhang
Shouqing Yang
Ying He
3DPC
300
29
0
08 May 2023
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent
  Semantic Navigation
NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic NavigationIEEE International Conference on Computer Vision (ICCV), 2023
Baao Xie
Bo Li
Zequn Zhang
Junting Dong
Xin Jin
Jingyu Yang
Wenjun Zeng
287
11
0
22 Apr 2023
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud
  Pretraining
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud PretrainingInternational Conference on Learning Representations (ICLR), 2023
Siming Yan
Yu-Qi Yang
Yu-Xiao Guo
Hao Pan
Peng-shuai Wang
Xin Tong
Yang Liu
Qi-Xing Huang
3DPC
287
21
0
14 Apr 2023
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point
  Clouds
PointGame: Geometrically and Adaptively Masked Auto-Encoder on Point CloudsIEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Yun-Hai Liu
Xu Yan
Zhilei Chen
Zhiqi Li
Zeyong Wei
Mingqiang Wei
3DPC
227
7
0
23 Mar 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 AlignmentComputer Vision and Pattern Recognition (CVPR), 2023
Yiqing Zhang
Xinming Huang
Ziming Zhang
218
12
0
21 Mar 2023
PointPatchMix: Point Cloud Mixing with Patch Scoring
PointPatchMix: Point Cloud Mixing with Patch ScoringAAAI Conference on Artificial Intelligence (AAAI), 2023
Yi Wang
Jiaze Wang
Jinpeng Li
Zixu Zhao
Guangyong Chen
Anfeng Liu
Pheng-Ann Heng
3DPC
211
11
0
12 Mar 2023
ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud
  Completion
ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud CompletionComputer Vision and Pattern Recognition (CVPR), 2023
S. Hong
Mohsen Yavartanoo
Reyhaneh Neshatavar
Kyoung Mu Lee
3DPC
353
19
0
02 Mar 2023
Sampled Transformer for Point Sets
Sampled Transformer for Point Sets
Shidi Li
Christian J. Walder
Alexander Soen
Lexing Xie
Miaomiao Liu
3DPC
229
1
0
28 Feb 2023
Ponder: Point Cloud Pre-training via Neural Rendering
Ponder: Point Cloud Pre-training via Neural RenderingIEEE International Conference on Computer Vision (ICCV), 2022
Di Huang
Sida Peng
Tong He
Honghui Yang
Xiaowei Zhou
Wanli Ouyang
SSL3DPC
301
54
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
Xingtai Lv
Yuanhan Zhang
Zhen-fei Yin
Jiebo Luo
Wanli Ouyang
Xiaoshui Huang
3DPC
244
12
0
17 Dec 2022
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds
MAELi: Masked Autoencoder for Large-Scale LiDAR Point CloudsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Georg Krispel
David Schinagl
Christian Fruhwirth-Reisinger
Horst Possegger
Horst Bischof
3DPC
472
28
0
14 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 RepairACM Transactions on Graphics (TOG), 2022
N. Lamb
Sean Banerjee
N. Banerjee
3DV
314
10
0
22 Nov 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud
  Learning
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Yabin Zhang
Jiehong Lin
Ruihuang Li
Kui Jia
Lei Zhang
3DPC
369
15
0
13 Nov 2022
DeepMend: Learning Occupancy Functions to Represent Shape for Repair
DeepMend: Learning Occupancy Functions to Represent Shape for RepairEuropean Conference on Computer Vision (ECCV), 2022
N. Lamb
Sean Banerjee
N. Banerjee
347
12
0
11 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
239
3
0
13 Sep 2022
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud
  Understanding
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingInternational Conference on 3D Vision (3DV), 2022
Guocheng Qian
Abdullah Hamdi
Xingdi Zhang
Guohao Li
3DPCViT
301
11
0
25 Aug 2022
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Masked Surfel Prediction for Self-Supervised Point Cloud Learning
Yabin Zhang
Jiehong Lin
Chenhang He
Yuxiao Chen
Kui Jia
Lei Zhang
3DPC
276
25
0
07 Jul 2022
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point
  Clouds
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point CloudsIEEE International Conference on Robotics and Automation (ICRA), 2022
Junsheng Zhou
Xin Wen
Baorui Ma
Yu-Shen Liu
Yue Gao
Yi Fang
Zhizhong Han
3DPC
304
25
0
26 Mar 2022
Masked Discrimination for Self-Supervised Learning on Point Clouds
Masked Discrimination for Self-Supervised Learning on Point CloudsEuropean Conference on Computer Vision (ECCV), 2022
Haotian Liu
Mu Cai
Yong Jae Lee
3DPC
458
231
0
21 Mar 2022
Masked Autoencoders for Point Cloud Self-supervised Learning
Masked Autoencoders for Point Cloud Self-supervised LearningEuropean Conference on Computer Vision (ECCV), 2022
Yatian Pang
Wenxiao Wang
Francis E. H. Tay
Wen Liu
Yonghong Tian
Liuliang Yuan
3DPCViT
417
688
0
13 Mar 2022
HiP: Hierarchical Perceiver
HiP: Hierarchical Perceiver
João Carreira
Skanda Koppula
Daniel Zoran
Adrià Recasens
Catalin Ionescu
...
M. Botvinick
Oriol Vinyals
Karen Simonyan
Andrew Zisserman
Andrew Jaegle
VLM
458
14
0
22 Feb 2022
1
Page 1 of 1