ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.06413
  4. Cited By
Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight
  Prediction

Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction

IEEE International Conference on Robotics and Automation (ICRA), 2022
12 March 2022
Youngsun Kwon
Minhyuk Sung
Sung-eui Yoon
    SupR
ArXiv (abs)PDFHTMLGithub

Papers citing "Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction"

12 / 12 papers shown
Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion
Real-Time LiDAR Super-Resolution via Frequency-Aware Multi-Scale Fusion
June Moh Goo
Zichao Zeng
Jan Boehm
112
1
0
10 Nov 2025
ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata
ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata
Samuel Soutullo
Miguel Yermo
David L. Vilariño
Óscar G. Lorenzo
José C. Cabaleiro
Francisco F. Rivera
103
0
0
23 Oct 2025
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation
Guided Model-based LiDAR Super-Resolution for Resource-Efficient Automotive scene Segmentation
Alexandros Gkillas
Nikos Piperigkos
Aris Lalos
3DV
155
1
0
01 Sep 2025
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
Chuang Chen
Wenyi Ge
368
8
0
15 May 2025
Decomposition of Neural Discrete Representations for Large-Scale 3D
  Mapping
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
Minseong Park
Suhan Woo
Euntai Kim
3DV
230
2
0
22 Jul 2024
Fast LiDAR Upsampling using Conditional Diffusion Models
Fast LiDAR Upsampling using Conditional Diffusion Models
Sander Elias Magnussen Helgesen
Kazuto Nakashima
Jim Torresen
Ryo Kurazume
354
5
0
08 May 2024
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
428
21
0
11 Dec 2023
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on
  Neural Implicit Surface
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit Surface
Sangwon Lim
Karim El-Basyouny
Yee-Hong Yang
3DPC
256
9
0
12 Oct 2023
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
LiDAR Data Synthesis with Denoising Diffusion Probabilistic ModelsIEEE International Conference on Robotics and Automation (ICRA), 2023
Kazuto Nakashima
Ryo Kurazume
DiffM
369
53
0
17 Sep 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A
  Survey
Advancements in Point Cloud Data Augmentation for Deep Learning: A SurveyPattern Recognition (Pattern Recogn.), 2023
Qinfeng Zhu
Lei Fan
Ningxin Weng
3DPC
611
100
0
23 Aug 2023
Lidar Upsampling with Sliced Wasserstein Distance
Lidar Upsampling with Sliced Wasserstein DistanceIEEE Robotics and Automation Letters (RA-L), 2023
Artem Savkin
Yida Wang
Sebastian J. Wirkert
Nassir Navab
F. Tombari
3DPC
179
17
0
31 Jan 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
360
10
0
08 Feb 2022
1
Page 1 of 1