Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models

Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models

27 July 2023

Jie Zhou

Papers citing "Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models"

8 / 8 papers shown

Title
Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence Vencia Herzog Stefan Suwelack 3DPC 24 0 0 12 Oct 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 38 7 0 08 Jul 2024
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 171 241 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 618 0 21 Jul 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 238 3,359 0 09 Mar 2020
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
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 279 39,083 0 01 Sep 2014