Cover Image

Efficient LiDAR Reflectance Compression via Scanning Serialization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhu, Jiahao, You, Kang, Ding, Dandan, Ma, Zhan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
by: You, Kang, et al.
Published: (2025)

Been There, Scanned That: Nostalgia-Driven LiDAR Compression for Self-Driving Cars
by: Khalid, Ali, et al.
Published: (2025)

ELiC: Efficient LiDAR Geometry Compression via Cross-Bit-depth Feature Propagation and Bag-of-Encoders
by: Kim, Junsik, et al.
Published: (2025)

Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
by: Behari, Nikhil, et al.
Published: (2024)

High-Efficiency Neural Video Compression via Hierarchical Predictive Learning
by: Lu, Ming, et al.
Published: (2024)

TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
by: Liu, Jiuming, et al.
Published: (2025)

Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation
by: Viswanath, Kasi, et al.
Published: (2024)

GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
by: Jiang, Junzhe, et al.
Published: (2025)

Decomposition, Compression, and Synthesis (DCS)-based Video Coding: A Neural Exploration via Resolution-Adaptive Learning
by: Lu, Ming, et al.
Published: (2020)

Enhancing Monocular Height Estimation via Sparse LiDAR-Guided Correction
by: Song, Jian, et al.
Published: (2025)

SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
by: Chen, Chuang, et al.
Published: (2025)

LiDAR-3DGS: LiDAR Reinforced 3D Gaussian Splatting for Multimodal Radiance Field Rendering
by: Lim, Hansol, et al.
Published: (2024)

RangeLDM: Fast Realistic LiDAR Point Cloud Generation
by: Hu, Qianjiang, et al.
Published: (2024)

Towards Consistent Object Detection via LiDAR-Camera Synergy
by: Luo, Kai, et al.
Published: (2024)

Inter-LPCM: Learning-based Inter-Frame Predictive Coding for LiDAR Point Cloud Compression
by: Sun, Chang, et al.
Published: (2026)

LiCAR: pseudo-RGB LiDAR image for CAR segmentation
by: Páez-Ubieta, Ignacio de Loyola, et al.
Published: (2025)

SOAR: Regression-based LiDAR Relocalization for UAVs
by: Mu, Hengyu, et al.
Published: (2026)

EEPNet: Efficient Edge Pixel-based Matching Network for Cross-Modal Dynamic Registration between LiDAR and Camera
by: Yue, Yuanchao, et al.
Published: (2024)

LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds
by: Wang, Chen, et al.
Published: (2025)

Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification
by: Lin, Junyan, et al.
Published: (2025)

Physically Based Neural LiDAR Resimulation
by: Marcus, Richard, et al.
Published: (2025)

Semantic Temporal Single-photon LiDAR
by: Li, Fang, et al.
Published: (2025)

Analysis and Improvement of Rank-Ordered Mean Algorithm in Single-Photon LiDAR
by: Yau, William C., et al.
Published: (2024)

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning
by: Takhtkeshha, Narges, et al.
Published: (2025)

Comparing roughness maps generated by five roughness descriptors for LiDAR-derived digital elevation models
by: Fan, Lei, et al.
Published: (2023)

Fiducial Tag Localization on a 3D LiDAR Prior Map
by: Liu, Yibo, et al.
Published: (2022)

A Plug-and-Play Algorithm for 3D Video Super-Resolution of Single-Photon LiDAR data
by: Ruget, Alice, et al.
Published: (2024)

PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
by: Zhu, Jiahao, et al.
Published: (2026)

PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems
by: Zimmer, Walter, et al.
Published: (2024)

Pointsoup: High-Performance and Extremely Low-Decoding-Latency Learned Geometry Codec for Large-Scale Point Cloud Scenes
by: You, Kang, et al.
Published: (2024)

Which LiDAR scanning pattern is better for roadside perception: Repetitive or Non-repetitive?
by: Qi, Zhiqi, et al.
Published: (2025)

CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
by: Sun, Wei, et al.
Published: (2025)

WLTCL: Wide Field-of-View 3-D LiDAR Truck Compartment Automatic Localization System
by: Sun, Guodong, et al.
Published: (2025)

DiT-IC: Aligned Diffusion Transformer for Efficient Image Compression
by: Shi, Junqi, et al.
Published: (2026)

Toward Physics-Aware Deep Learning Architectures for LiDAR Intensity Simulation
by: Anand, Vivek, et al.
Published: (2024)

LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data
by: Lis, Konrad, et al.
Published: (2025)

Point Cloud Recombination: Systematic Real Data Augmentation Using Robotic Targets for LiDAR Perception Validation
by: Padusinski, Hubert, et al.
Published: (2025)

Uncertainty-Aware Deep Video Compression with Ensembles
by: Ma, Wufei, et al.
Published: (2024)

MambaMOS: LiDAR-based 3D Moving Object Segmentation with Motion-aware State Space Model
by: Zeng, Kang, et al.
Published: (2024)

Neural Video Compression with Feature Modulation
by: Li, Jiahao, et al.
Published: (2024)