Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds

25 June 2024

Papers citing "Masked Generative Extractor for Synergistic Representation and 3D Generation of Point Clouds"

8 / 8 papers shown

Title
Neural Wavelet-domain Diffusion for 3D Shape Generation Ka-Hei Hui Ruihui Li Jingyu Hu Chi-Wing Fu DiffM 50 123 0 19 Sep 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
ShapeFormer: Transformer-based Shape Completion via Sparse Representation Xingguang Yan Liqiang Lin Niloy J. Mitra Dani Lischinski Daniel Cohen-Or Hui Huang ViT 56 110 0 25 Jan 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
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
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 136 618 0 21 Jul 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
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 164 1,926 0 24 Oct 2016