Point Clouds Are Specialized Images: A Knowledge Transfer Approach for
3D Understanding

Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding

28 July 2023

Xiangjian He

Papers citing "Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding"

7 / 7 papers shown

Title
Integrating Chain-of-Thought for Multimodal Alignment: A Study on 3D Vision-Language Learning Yanjun Chen Yirong Sun Xinghao Chen Jian Wang Xiaoyu Shen W. Li Wei Zhang 3DV LRM 56 1 0 08 Mar 2025
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding Hongyu Sun Yongcai Wang Xudong Cai Xuewei Bai Deying Li ViT 3DPC 19 8 0 25 Mar 2023
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis Bach Tran Binh-Son Hua Anh Tran Minh Hoai 3DPC 22 7 0 28 Oct 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 169 241 0 28 May 2022
PointCLIP: Point Cloud Understanding by CLIP Renrui Zhang Ziyu Guo Wei Zhang Kunchang Li Xupeng Miao Bin Cui Yu Qiao Peng Gao Hongsheng Li VLM 3DPC 161 428 0 04 Dec 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 267 0 07 Jan 2021
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