Imagen de Portada

3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lu, Dening, Zhou, Jun, Gao, Kyle, Xu, Linlin, Li, Jonathan
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Enhanced 3D Urban Scene Reconstruction and Point Cloud Densification using Gaussian Splatting and Google Earth Imagery
por: Gao, Kyle, et al.
Publicado: (2024)

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

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

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

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

Gaussian Building Mesh (GBM): Extract a Building's 3D Mesh with Google Earth and Gaussian Splatting
por: Gao, Kyle, et al.
Publicado: (2024)

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

NeRF: Neural Radiance Field in 3D Vision: A Comprehensive Review (Updated Post-Gaussian Splatting)
por: Gao, Kyle, et al.
Publicado: (2022)

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

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

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

Digital Twin Buildings: 3D Modeling, GIS Integration, and Visual Descriptions Using Gaussian Splatting, ChatGPT/Deepseek, and Google Maps Platform
por: Gao, Kyle, et al.
Publicado: (2025)

SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud
por: Wang, Neng, et al.
Publicado: (2024)

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

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

Is Your LiDAR Placement Optimized for 3D Scene Understanding?
por: Li, Ye, et al.
Publicado: (2024)

APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
por: Gao, Yuan, et al.
Publicado: (2025)

RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis
por: Wang, Zhaoxuan, et al.
Publicado: (2024)

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

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

Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
por: Xu, Xiang, et al.
Publicado: (2026)

LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
por: Fan, Bohao, et al.
Publicado: (2023)

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

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

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

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

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

Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
por: Liu, Chuandong, et al.
Publicado: (2024)

Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
por: Zhang, Shengyuan, et al.
Publicado: (2024)

LiFlow: Flow Matching for 3D LiDAR Scene Completion
por: Matteazzi, Andrea, et al.
Publicado: (2026)

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
por: Kumar, Aakash, et al.
Publicado: (2024)

Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer
por: Farzanullah, Mohammad, et al.
Publicado: (2024)

Explainable LiDAR 3D Point Cloud Segmentation and Clustering for Detecting Airplane-Generated Wind Turbulence
por: Qu, Zhan, et al.
Publicado: (2025)

BikeScenes: Online LiDAR Semantic Segmentation for Bicycles
por: Goren, Denniz, et al.
Publicado: (2025)

HeLiMOS: A Dataset for Moving Object Segmentation in 3D Point Clouds From Heterogeneous LiDAR Sensors
por: Lim, Hyungtae, et al.
Publicado: (2024)

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

DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
por: Cai, Kaiwen, et al.
Publicado: (2025)

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

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