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DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially
  Trained Autoencoder

DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder

26 May 2021
Prashant Kumar
Sabyasachi Sahoo
Vanshil Shah
Vineetha Kondameedi
Abhinav Jain
Akshaj Verma
Chiranjib Bhattacharyya
Vinay Viswanathan
ArXivPDFHTML

Papers citing "DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder"

4 / 4 papers shown
Title
GLiDR: Topologically Regularized Graph Generative Network for Sparse
  LiDAR Point Clouds
GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
Prashant Kumar
Kshitij Madhav Bhat
Vedang Bhupesh Shenvi Nadkarni
P. K. Kalra
31
2
0
29 Nov 2023
Deep Generative Modeling of LiDAR Data
Deep Generative Modeling of LiDAR Data
Lucas Caccia
H. V. Hoof
Aaron Courville
Joelle Pineau
3DPC
153
75
0
04 Dec 2018
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
DynaSLAM: Tracking, Mapping and Inpainting in Dynamic Scenes
Berta Bescós
José M. Fácil
Javier Civera
José Neira
58
847
0
14 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
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
14,131
0
02 Dec 2016
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