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Lidar Upsampling with Sliced Wasserstein Distance

Lidar Upsampling with Sliced Wasserstein Distance

31 January 2023
Artem Savkin
Yida Wang
Sebastian J. Wirkert
Nassir Navab
F. Tombari
    3DPC
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Papers citing "Lidar Upsampling with Sliced Wasserstein Distance"

7 / 7 papers shown
Title
TULIP: Transformer for Upsampling of LiDAR Point Clouds
TULIP: Transformer for Upsampling of LiDAR Point Clouds
Bin Yang
Patrick Pfreundschuh
Roland Siegwart
Marco Hutter
Peyman Moghadam
Vaishakh Patil
3DPC
20
6
0
11 Dec 2023
Energy-Based Sliced Wasserstein Distance
Energy-Based Sliced Wasserstein Distance
Khai Nguyen
Nhat Ho
25
21
0
26 Apr 2023
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous
  Driving
HALS: A Height-Aware Lidar Super-Resolution Framework for Autonomous Driving
George Eskandar
Sanjeev Sudarsan
Karim Guirguis
Janaranjani Palaniswamy
Bharath Somashekar
Bin Yang
11
6
0
08 Feb 2022
Diffusion Probabilistic Models for 3D Point Cloud Generation
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo
Wei Hu
3DPC
180
721
0
02 Mar 2021
Cascaded Refinement Network for Point Cloud Completion with
  Self-supervision
Cascaded Refinement Network for Point Cloud Completion with Self-supervision
Xiaogang Wang
M. Ang
G. Lee
3DPC
35
32
0
17 Oct 2020
Deep Generative Modeling of LiDAR Data
Deep Generative Modeling of LiDAR Data
Lucas Page-Caccia
H. V. Hoof
Aaron Courville
Joelle Pineau
3DPC
147
74
0
04 Dec 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
14,099
0
02 Dec 2016
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