Learning to Generate Realistic LiDAR Point Clouds

Learning to Generate Realistic LiDAR Point Clouds

8 September 2022

Shenlong Wang

Papers citing "Learning to Generate Realistic LiDAR Point Clouds"

6 / 6 papers shown

Title
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations Ruidan Xing Runyi Huang Qing Xu Lei He 47 0 0 10 Mar 2025
Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo Wei Hu 3DPC 158 566 0 02 Mar 2021
Deep Generative Modeling of LiDAR Data Lucas Page-Caccia H. V. Hoof Aaron Courville Joelle Pineau 3DPC 125 55 0 04 Dec 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 137 707 0 30 Mar 2018
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 199 12,351 0 02 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 203 7,006 0 21 Nov 2016