Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives

25 May 2022

Papers citing "Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives"

8 / 8 papers shown

Title
No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation Xiangyang Zhu Renrui Zhang Bowei He Ziyu Guo Jiaming Liu Han Xiao Chaoyou Fu Hao Dong Peng Gao 3DPC 31 9 0 05 Apr 2024
Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation Shuting He Xudong Jiang Wei Jiang Henghui Ding 3DPC 19 33 0 23 May 2023
Spatial Feature Mapping for 6DoF Object Pose Estimation Jianhan Mei Xudong Jiang Henghui Ding 3DPC 19 14 0 03 Jun 2022
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 141 622 0 21 Jul 2020
Unsupervised Multi-Task Feature Learning on Point Clouds Kaveh Hassani Mike Haley SSL 3DPC 117 193 0 18 Oct 2019
Boundary-Aware Feature Propagation for Scene Segmentation Henghui Ding Xudong Jiang A. Liu N. Magnenat-Thalmann G. Wang 137 255 0 31 Aug 2019
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,099 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 171 1,940 0 24 Oct 2016