Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training

28 May 2022

Ziyu Guo

Yu Qiao

Papers citing "Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training"

50 / 62 papers shown

Title
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging Ali Alawieh Alexandru P. Condurache 3DPC 58 0 0 07 May 2025
GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model Zixiang Ai Zichen Liu Yuanhang Lei Zhenyu Cui Xu Zou Jiahuan Zhou 34 0 0 07 May 2025
SAMBLE: Shape-Specific Point Cloud Sampling for an Optimal Trade-Off Between Local Detail and Global Uniformity Chengzhi Wu Yuxin Wan Hao Fu Julius Pfrommer Zeyun Zhong Junwei Zheng Jiaming Zhang Jürgen Beyerer 3DPC 54 0 0 28 Apr 2025
HFBRI-MAE: Handcrafted Feature Based Rotation-Invariant Masked Autoencoder for 3D Point Cloud Analysis Xuanhua Yin Dingxin Zhang Jianhui Yu Weidong Cai 25 0 0 19 Apr 2025
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos Zhi Zuo Chenyi Zhuang Zhiqiang Shen Pan Gao Jie Qin Nicu Sebe 3DPC 35 0 0 07 Apr 2025
Spectral Informed Mamba for Robust Point Cloud Processing Ali Bahri Moslem Yazdanpanah Mehrdad Noori Sahar Dastani Milad Cheraghalikhani David Osowiechi G. A. V. Hakim Farzad Beizaee Ismail ben Ayed Christian Desrosiers Mamba 3DPC 74 0 0 06 Mar 2025
Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation Kevin Qiu Dimitri Bulatov Dorota Iwaszczuk 3DPC 56 0 0 30 Jan 2025
Data-efficient Performance Modeling via Pre-training Chunting Liu Riyadh Baghdadi 43 0 0 24 Jan 2025
Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis Hongyu Sun Qiuhong Ke Yunhong Wang Wang Chen Kang Yang Deying Li Jianfei Cai 3DPC 86 3 0 17 Jan 2025
Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging Ali Bahri Moslem Yazdanpanah Mehrdad Noori Sahar Dastani Oghani Milad Cheraghalikhani David Osowiech Farzad Beizaee G. A. V. Hakim Ismail ben Ayed Christian Desrosiers 3DPC TTA 45 0 0 31 Dec 2024
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence Vencia Herzog Stefan Suwelack 3DPC 29 0 0 12 Oct 2024
MAP: Unleashing Hybrid Mamba-Transformer Vision Backbone's Potential with Masked Autoregressive Pretraining Yunze Liu Li Yi Mamba 45 2 0 01 Oct 2024
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando Sridha Sridharan Clinton Fookes Peyman Moghadam 3DPC 36 0 0 24 Sep 2024
GS-PT: Exploiting 3D Gaussian Splatting for Comprehensive Point Cloud Understanding via Self-supervised Learning Keyi Liu Yeqi Luo Weidong Yang Jingyi Xu Zhijun Li Wen-Ming Chen Ben Fei 3DGS 3DPC 46 0 0 08 Sep 2024
Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding Yunze Man Shuhong Zheng Zhipeng Bao M. Hebert Liang-Yan Gui Yu-xiong Wang 75 15 0 05 Sep 2024
P3P: Pseudo-3D Pre-training for Scaling 3D Masked Autoencoders Xuechao Chen Ying Chen Jialin Li Qiang Nie Hanqiu Deng Qixing Huang Yang Li Yang Li 3DPC 78 0 0 19 Aug 2024
Bringing Masked Autoencoders Explicit Contrastive Properties for Point Cloud Self-Supervised Learning Bin Ren Guofeng Mei D. Paudel Weijie Wang Yawei Li Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 3DPC 50 9 0 08 Jul 2024
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Yaohua Zha Naiqi Li Yanzi Wang Tao Dai Hang Guo Bin Chen Zhi Wang Zhihao Ouyang Shu-Tao Xia Mamba 42 8 0 27 May 2024
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 78 1 0 20 May 2024
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud Ayumu Saito Prachi Kudeshia Jiju Poovvancheri 3DPC 45 7 0 25 Apr 2024
MiM: Mask in Mask Self-Supervised Pre-Training for 3D Medical Image Analysis Jiaxin Zhuang Linshan Wu Qiong Wang V. Vardhanabhuti Lin Luo Hao Chen Hao Chen 57 4 0 24 Apr 2024
Social-MAE: Social Masked Autoencoder for Multi-person Motion Representation Learning Mahsa Ehsanpour Ian Reid Hamid Rezatofighi ViT 34 0 0 08 Apr 2024
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
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding Hongyu Sun Yongcai Wang Wang Chen Haoran Deng Deying Li VPVLM 49 5 0 24 Feb 2024
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration Yifan Zhang Siyu Ren Junhui Hou Jinjian Wu Guangming Shi Guangming Shi SSL 3DPC 90 3 0 23 Jan 2024
DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction Yanlong Li Chamara Madarasingha Kanchana Thilakarathna 23 1 0 06 Dec 2023
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features Thomas Wimmer Peter Wonka M. Ovsjanikov 36 9 0 29 Nov 2023
Instance-aware 3D Semantic Segmentation powered by Shape Generators and Classifiers Bo Sun Qixing Huang Xiangru Huang 3DV 3DPC 32 0 0 21 Nov 2023
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds Hao Yang Haiyang Wang Di Dai Liwei Wang 3DPC 27 4 0 08 Nov 2023
BEVContrast: Self-Supervision in BEV Space for Automotive Lidar Point Clouds Corentin Sautier Gilles Puy Alexandre Boulch Renaud Marlet Vincent Lepetit 3DPC 23 15 0 26 Oct 2023
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization Tai-Yu Pan Chenyang Ma Tianle Chen Cheng Perng Phoo Katie Z Luo Yurong You Mark E. Campbell Kilian Q. Weinberger B. Hariharan Wei-Lun Chao 3DPC 25 4 0 23 Oct 2023
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 71 43 0 12 Oct 2023
Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders G. Cao Jiaqi Jiang Danushka Bollegala Shan Luo 28 11 0 14 Jul 2023
Self-supervised adversarial masking for 3D point cloud representation learning Michal Szachniewicz Wojciech Kozlowski Michal Stypulkowski Maciej Ziȩba 3DPC 16 2 0 11 Jul 2023
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers Ioannis Romanelis Vlassis Fotis Konstantinos Moustakas Adrian Munteanu ViT 3DPC 21 4 0 19 Jun 2023
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding Le Xue Ning Yu Shu Zhen Zhang Artemis Panagopoulou Junnan Li ... Jiajun Wu Caiming Xiong Ran Xu Juan Carlos Niebles Silvio Savarese 24 115 0 14 May 2023
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Yaohua Zha Jinpeng Wang Tao Dai Bin Chen Zhi Wang Shutao Xia VLM 48 45 0 14 Apr 2023
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 38 15 0 14 Apr 2023
Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners Renrui Zhang Xiangfei Hu Bohao Li Siyuan Huang Hanqiu Deng Hongsheng Li Yu Qiao Peng Gao VLM MLLM 40 170 0 03 Mar 2023
Applying Plain Transformers to Real-World Point Clouds Lanxiao Li M. Heizmann 3DPC ViT 26 3 0 28 Feb 2023
Joint-MAE: 2D-3D Joint Masked Autoencoders for 3D Point Cloud Pre-training Ziyu Guo Renrui Zhang Longtian Qiu Xianzhi Li Pheng-Ann Heng 3DPC 30 52 0 27 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining Zekun Qi Runpei Dong Guo Fan Zheng Ge Xiangyu Zhang Kaisheng Ma Li Yi 38 117 0 05 Feb 2023
Aerial Image Object Detection With Vision Transformer Detector (ViTDet) Liya Wang A. Tien 46 7 0 28 Jan 2023
Ponder: Point Cloud Pre-training via Neural Rendering Di Huang Sida Peng Tong He Honghui Yang Xiaowei Zhou Wanli Ouyang SSL 3DPC 39 41 0 31 Dec 2022
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning Colorado Reed Ritwik Gupta Shufan Li S. Brockman Christopher Funk Brian Clipp Kurt Keutzer Salvatore Candido M. Uyttendaele Trevor Darrell 121 169 0 30 Dec 2022
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 41 125 0 13 Dec 2022
BEV-MAE: Bird's Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios Zhiwei Lin Yongtao Wang Shengxiang Qi Nan Dong Ming-Hsuan Yang 3DPC 16 13 0 12 Dec 2022
GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds Honghui Yang Tong He Jiaheng Liu Huaguan Chen Boxi Wu Binbin Lin Xiaofei He Wanli Ouyang 54 58 0 06 Dec 2022
Point-DAE: Denoising Autoencoders for Self-supervised Point Cloud Learning Yabin Zhang Jiehong Lin Ruihuang Li Kui Jia Lei Zhang 3DPC 25 6 0 13 Nov 2022
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? Kevin Zhang Zhiqiang Shen 20 8 0 20 Oct 2022