:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Jiahao, You, Kang, Ding, Dandan, Ma, Zhan
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.01320
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient LiDAR Reflectance Compression via Scanning Serialization
by: Zhu, Jiahao, et al.
Published: (2025)

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

Towards Practical Lossless Neural Compression for LiDAR Point Clouds
by: Yu, Pengpeng, et al.
Published: (2026)

Efficient and Generic Point Model for Lossless Point Cloud Attribute Compression
by: You, Kang, et al.
Published: (2024)

Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
by: Kuwabara, Akihiro, et al.
Published: (2025)

NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
by: Zhang, Junge, et al.
Published: (2023)

TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023)

Towards Practical Human Motion Prediction with LiDAR Point Clouds
by: Han, Xiao, et al.
Published: (2024)

LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
by: Wei, Haiyun, et al.
Published: (2025)

Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
by: Wu, Yang, et al.
Published: (2024)

FLaTEC: Frequency-Disentangled Latent Triplanes for Efficient Compression of LiDAR Point Clouds
by: Zhang, Xiaoge, et al.
Published: (2025)

LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
by: Zhou, Sifan, et al.
Published: (2024)

Physics-Aware Diffusion for LiDAR Point Cloud Densification
by: Zhang, Zeping, et al.
Published: (2026)

Unlocking Generalization Power in LiDAR Point Cloud Registration
by: Zeng, Zhenxuan, et al.
Published: (2025)

LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
by: Fang, Jin, et al.
Published: (2023)

Annotation-Free Detection of Drivable Areas and Curbs Leveraging LiDAR Point Cloud Maps
by: Ma, Fulong, et al.
Published: (2026)

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

Real-time Neural Rendering of LiDAR Point Clouds
by: Vanherck, Joni, et al.
Published: (2025)

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

Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain
by: Gump, Avery, et al.
Published: (2026)

CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
by: Zhao, Guoyang, et al.
Published: (2024)

Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds
by: Wang, Xinyu, et al.
Published: (2025)

Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds
by: Yu, Pengpeng, et al.
Published: (2025)

Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing
by: Lu, Dening, et al.
Published: (2024)

Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
by: Liu, Yujia, et al.
Published: (2024)

Contextual Range-View Projection for 3D LiDAR Point Clouds
by: Mousavi, Seyedali, et al.
Published: (2026)

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

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

PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
by: Nisar, Barza, et al.
Published: (2025)

Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
by: Cai, Mu, et al.
Published: (2024)

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
by: Wang, Yanbo, et al.
Published: (2024)

P2P: Part-to-Part Motion Cues Guide a Strong Tracking Framework for LiDAR Point Clouds
by: Nie, Jiahao, et al.
Published: (2024)

LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
by: Cui, Yunge, et al.
Published: (2022)

Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
by: Rozsa, Z., et al.
Published: (2026)

Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
by: Lu, Dening, et al.
Published: (2024)

POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
by: Shi, Yining, et al.
Published: (2025)

Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
by: Zheng, Yu, et al.
Published: (2023)

RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
by: Fu, Jingyun, et al.
Published: (2025)

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