Deep Generative Modeling of LiDAR Data

Deep Generative Modeling of LiDAR Data

4 December 2018

Aaron Courville

Papers citing "Deep Generative Modeling of LiDAR Data"

17 / 17 papers shown

Title
RS2AD: End-to-End Autonomous Driving Data Generation from Roadside Sensor Observations Ruidan Xing Runyi Huang Qing Xu Lei He 69 0 0 10 Mar 2025
A Survey of World Models for Autonomous Driving Tuo Feng Wenguan Wang Yuqing Yang VGen 80 6 0 20 Jan 2025
X-Drive: Cross-modality consistent multi-sensor data synthesis for driving scenarios Yichen Xie Chenfeng Xu C-T.John Peng Shuqi Zhao Nhat Ho Alexander T. Pham Mingyu Ding M. Tomizuka W. Zhan DiffM 41 2 0 02 Nov 2024
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds Prashant Kumar Kshitij Madhav Bhat Vedang Bhupesh Shenvi Nadkarni P. K. Kalra 27 2 0 29 Nov 2023
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library Xinyu Cai Wentao Jiang Runsheng Xu Wenquan Zhao Jiaqi Ma Sishuo Liu Yikang Li 36 37 0 29 Nov 2022
Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data Kazuto Nakashima Y. Iwashita Ryo Kurazume GAN 3DPC 24 17 0 21 Oct 2022
Learning to Simulate Realistic LiDARs Benoît Guillard Sai H. Vemprala Jayesh K. Gupta O. Mikšík Vibhav Vineet Pascal Fua Ashish Kapoor 3DPC 11 18 0 22 Sep 2022
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 29 8 0 31 Aug 2022
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving George Eskandar Sanjeev Sudarsan Karim Guirguis Janaranjani Palaniswamy Bharath Somashekar Bin Yang 13 6 0 08 Feb 2022
Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models Daniel Bogdoll Johannes Jestram Jonas Rauch Christin Scheib Moritz Wittig J. Marius Zöllner 25 9 0 05 Nov 2021
Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks Benedikt Mersch Xieyuanli Chen Jens Behley C. Stachniss 3DPC 23 54 0 28 Sep 2021
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 26 2 0 24 Sep 2021
A Survey on Deep Domain Adaptation for LiDAR Perception Larissa T. Triess M. Dreissig Christoph B. Rist J. Marius Zöllner 39 66 0 04 Jun 2021
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World S. Manivasagam Shenlong Wang K. Wong Wenyuan Zeng Mikita Sazanovich Shuhan Tan Binh Yang Wei-Chiu Ma R. Urtasun 3DPC 8 221 0 16 Jun 2020
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,743 0 26 Sep 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 522 0 21 Sep 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 239 2,550 0 25 Jan 2016