CNN-based synthesis of realistic high-resolution LiDAR data

28 June 2019

Papers citing "CNN-based synthesis of realistic high-resolution LiDAR data"

6 / 6 papers shown

Title
TULIP: Transformer for Upsampling of LiDAR Point Clouds Bin Yang Patrick Pfreundschuh Roland Siegwart Marco Hutter Peyman Moghadam Vaishakh Patil 3DPC 26 6 0 11 Dec 2023
A Realism Metric for Generated LiDAR Point Clouds Larissa T. Triess Christoph B. Rist David Peter J. Marius Zöllner 3DPC 32 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
Quantifying point cloud realism through adversarially learned latent representations Larissa T. Triess David Peter Stefan A. Baur J. Marius Zöllner 3DPC 32 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 45 66 0 04 Jun 2021
Semantic Scene Completion using Local Deep Implicit Functions on LiDAR Data Christoph B. Rist David Emmerichs Markus Enzweiler D. Gavrila 3DPC 3DV 20 84 0 18 Nov 2020