ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2312.00068
  4. Cited By
GLiDR: Topologically Regularized Graph Generative Network for Sparse
  LiDAR Point Clouds
v1v2v3 (latest)

GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds

29 November 2023
Prashant Kumar
Kshitij Madhav Bhat
Vedang Bhupesh Shenvi Nadkarni
P. K. Kalra
ArXiv (abs)PDFHTML

Papers citing "GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds"

23 / 23 papers shown
Title
UltraLiDAR: Learning Compact Representations for LiDAR Completion and
  Generation
UltraLiDAR: Learning Compact Representations for LiDAR Completion and Generation
Yuwen Xiong
Wei-Chiu Ma
Jingkang Wang
R. Urtasun
60
46
0
02 Nov 2023
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance
  Fields
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
Junge Zhang
Feihu Zhang
Shaochen Kuang
Li Zhang
3DPC
126
41
0
28 Apr 2023
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and
  Robust Registration If Done the Right Way
KISS-ICP: In Defense of Point-to-Point ICP -- Simple, Accurate, and Robust Registration If Done the Right Way
Ignacio Vizzo
Tiziano Guadagnino
Benedikt Mersch
Louis Wiesmann
Jens Behley
C. Stachniss
3DPC
125
288
0
30 Sep 2022
Learning to Generate Realistic LiDAR Point Clouds
Learning to Generate Realistic LiDAR Point Clouds
Vlas Zyrianov
Xiyue Zhu
Shenlong Wang
3DPCDiffM
135
62
0
08 Sep 2022
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
CP3: Unifying Point Cloud Completion by Pretrain-Prompt-Predict Paradigm
Mingye Xu
Yali Wang
Yihao Liu
Tong He
Yu Qiao
3DPC
65
17
0
12 Jul 2022
Object DGCNN: 3D Object Detection using Dynamic Graphs
Object DGCNN: 3D Object Detection using Dynamic Graphs
Yue Wang
Justin Solomon
3DPC
205
104
0
13 Oct 2021
To the Point: Efficient 3D Object Detection in the Range Image with
  Graph Convolution Kernels
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels
Yuning Chai
Pei Sun
Jiquan Ngiam
Weiyue Wang
Benjamin Caine
Vijay Vasudevan
Xiao Zhang
Drago Anguelov
3DPC
94
68
0
25 Jun 2021
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially
  Trained Autoencoder
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Prashant Kumar
Sabyasachi Sahoo
Vanshil Shah
Vineetha Kondameedi
Abhinav Jain
Akshaj Verma
Chiranjib Bhattacharyya
Vinay Viswanathan
44
8
0
26 May 2021
Unsupervised 3D Shape Completion through GAN Inversion
Unsupervised 3D Shape Completion through GAN Inversion
Junzhe Zhang
Xinyi Chen
Zhongang Cai
Liang Pan
Haiyu Zhao
Shuai Yi
C. Yeo
Bo Dai
Chen Change Loy
3DPC
51
113
0
27 Apr 2021
Topological Graph Neural Networks
Topological Graph Neural Networks
Max Horn
E. Brouwer
Michael Moor
Yves Moreau
Bastian Rieck
Karsten Borgwardt
AI4CE
60
97
0
15 Feb 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
224
743
0
02 Mar 2020
Topological Autoencoders
Topological Autoencoders
Michael Moor
Max Horn
Bastian Rieck
Karsten Borgwardt
66
150
0
03 Jun 2019
A Topology Layer for Machine Learning
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson
Bradley J. Nelson
Anjan Dwaraknath
Primoz Skraba
Leonidas Guibas
Gunnar Carlsson
AI4CE
69
133
0
29 May 2019
Explicit topological priors for deep-learning based image segmentation
  using persistent homology
Explicit topological priors for deep-learning based image segmentation using persistent homology
J. Clough
Ilkay Oksuz
Nicholas Byrne
Julia A. Schnabel
A. King
58
67
0
29 Jan 2019
Characterizing the Shape of Activation Space in Deep Neural Networks
Characterizing the Shape of Activation Space in Deep Neural Networks
Thomas Gebhart
Paul Schrater
Alan Hylton
AAML
38
7
0
28 Jan 2019
Deep Generative Modeling of LiDAR Data
Deep Generative Modeling of LiDAR Data
Lucas Caccia
H. V. Hoof
Aaron Courville
Joelle Pineau
3DPC
191
76
0
04 Dec 2018
Topology-Aware Surface Reconstruction for Point Clouds
Topology-Aware Surface Reconstruction for Point Clouds
Rickard Brüel-Gabrielsson
Vignesh Ganapathi-Subramanian
Primoz Skraba
Leonidas Guibas
3DPC
30
46
0
29 Nov 2018
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space
Berta Bescós
José Neira
Roland Siegwart
Cesar Cadena
58
25
0
20 Sep 2018
A Topological Regularizer for Classifiers via Persistent Homology
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen
Xiuyan Ni
Qinxun Bai
Yusu Wang
77
112
0
27 Jun 2018
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN3DPC
257
6,168
0
24 Jan 2018
Persistent homology machine learning for fingerprint classification
Persistent homology machine learning for fingerprint classification
Noah Giansiracusa
Robert S. Giansiracusa
Chul Moon
50
41
0
24 Nov 2017
Deep Learning with Topological Signatures
Deep Learning with Topological Signatures
Christoph Hofer
Roland Kwitt
Marc Niethammer
A. Uhl
3DPC
62
244
0
13 Jul 2017
Applying Topological Persistence in Convolutional Neural Network for
  Music Audio Signals
Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals
Jen-Yu Liu
Shyh-Kang Jeng
Yi-Hsuan Yang
52
35
0
26 Aug 2016
1