Point2Building: Reconstructing Buildings from Airborne LiDAR Point Clouds
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Yujia, Obukhov, Anton, Wegner, Jan Dirk, Schindler, Konrad |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph
by: Kim, Donghyun, et al.
Published: (2026)
by: Kim, Donghyun, et al.
Published: (2026)
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023)
by: Yang, Bin, et al.
Published: (2023)
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
by: Wu, Yang, et al.
Published: (2024)
by: Wu, Yang, et al.
Published: (2024)
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
by: Zhang, Junge, et al.
Published: (2023)
by: Zhang, Junge, et al.
Published: (2023)
LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
by: Wei, Haiyun, et al.
Published: (2025)
by: Wei, Haiyun, et al.
Published: (2025)
Unlocking Generalization Power in LiDAR Point Cloud Registration
by: Zeng, Zhenxuan, et al.
Published: (2025)
by: Zeng, Zhenxuan, et al.
Published: (2025)
Physics-Aware Diffusion for LiDAR Point Cloud Densification
by: Zhang, Zeping, et al.
Published: (2026)
by: Zhang, Zeping, et al.
Published: (2026)
PCTreeS: 3D Point Cloud Tree Species Classification Using Airborne LiDAR Images
by: Lin, Hongjin, et al.
Published: (2024)
by: Lin, Hongjin, et al.
Published: (2024)
Efficient Point Transformer with Dynamic Token Aggregating for LiDAR Point Cloud Processing
by: Lu, Dening, et al.
Published: (2024)
by: Lu, Dening, et al.
Published: (2024)
Consistency^2: Consistent and Fast 3D Painting with Latent Consistency Models
by: Wang, Tianfu, et al.
Published: (2024)
by: Wang, Tianfu, et al.
Published: (2024)
LiDAR-CS Dataset: LiDAR Point Cloud Dataset with Cross-Sensors for 3D Object Detection
by: Fang, Jin, et al.
Published: (2023)
by: Fang, Jin, et al.
Published: (2023)
Real-time Neural Rendering of LiDAR Point Clouds
by: Vanherck, Joni, et al.
Published: (2025)
by: Vanherck, Joni, et al.
Published: (2025)
Towards Practical Human Motion Prediction with LiDAR Point Clouds
by: Han, Xiao, et al.
Published: (2024)
by: Han, Xiao, et al.
Published: (2024)
Ghosts in the Point Clouds: De-glaring LiDAR in the Transient Domain
by: Gump, Avery, et al.
Published: (2026)
by: Gump, Avery, et al.
Published: (2026)
Automated Road Extraction and Centreline Fitting in LiDAR Point Clouds
by: Wang, Xinyu, et al.
Published: (2025)
by: Wang, Xinyu, et al.
Published: (2025)
Towards Practical Lossless Neural Compression for LiDAR Point Clouds
by: Yu, Pengpeng, et al.
Published: (2026)
by: Yu, Pengpeng, et al.
Published: (2026)
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds
by: Wang, Yanbo, et al.
Published: (2024)
by: Wang, Yanbo, et al.
Published: (2024)
GS-LiDAR: Generating Realistic LiDAR Point Clouds with Panoramic Gaussian Splatting
by: Jiang, Junzhe, et al.
Published: (2025)
by: Jiang, Junzhe, et al.
Published: (2025)
LiLa-Net: Lightweight Latent LiDAR Autoencoder for 3D Point Cloud Reconstruction
by: Resino, Mario, et al.
Published: (2025)
by: Resino, Mario, et al.
Published: (2025)
Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
by: Zheng, Yu, et al.
Published: (2023)
by: Zheng, Yu, et al.
Published: (2023)
TopoLiDM: Topology-Aware LiDAR Diffusion Models for Interpretable and Realistic LiDAR Point Cloud Generation
by: Liu, Jiuming, et al.
Published: (2025)
by: Liu, Jiuming, et al.
Published: (2025)
Contextual Range-View Projection for 3D LiDAR Point Clouds
by: Mousavi, Seyedali, et al.
Published: (2026)
by: Mousavi, Seyedali, et al.
Published: (2026)
Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
by: Kuwabara, Akihiro, et al.
Published: (2025)
by: Kuwabara, Akihiro, et al.
Published: (2025)
SRMamba: Mamba for Super-Resolution of LiDAR Point Clouds
by: Chen, Chuang, et al.
Published: (2025)
by: Chen, Chuang, et al.
Published: (2025)
CurbNet: Curb Detection Framework Based on LiDAR Point Cloud Segmentation
by: Zhao, Guoyang, et al.
Published: (2024)
by: Zhao, Guoyang, et al.
Published: (2024)
Robust Single Object Tracking in LiDAR Point Clouds under Adverse Weather Conditions
by: Zhao, Xiantong, et al.
Published: (2025)
by: Zhao, Xiantong, et al.
Published: (2025)
Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions
by: Piroli, Aldi, et al.
Published: (2024)
by: Piroli, Aldi, et al.
Published: (2024)
3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
by: Lu, Dening, et al.
Published: (2024)
by: Lu, Dening, et al.
Published: (2024)
PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
by: Zhu, Jiahao, et al.
Published: (2026)
by: Zhu, Jiahao, et al.
Published: (2026)
Fast Attention-Based Simplification of LiDAR Point Clouds for Object Detection and Classification
by: Rozsa, Z., et al.
Published: (2026)
by: Rozsa, Z., et al.
Published: (2026)
POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud
by: Shi, Yining, et al.
Published: (2025)
by: Shi, Yining, et al.
Published: (2025)
RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds
by: Fu, Jingyun, et al.
Published: (2025)
by: Fu, Jingyun, et al.
Published: (2025)
BuildAnyPoint: 3D Building Structured Abstraction from Diverse Point Clouds
by: Hua, Tongyan, et al.
Published: (2026)
by: Hua, Tongyan, et al.
Published: (2026)
SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems
by: Awedat, Khalfalla, et al.
Published: (2025)
by: Awedat, Khalfalla, et al.
Published: (2025)
LitePT: Lighter Yet Stronger Point Transformer
by: Yue, Yuanwen, et al.
Published: (2025)
by: Yue, Yuanwen, et al.
Published: (2025)
The Potential of Copernicus Satellites for Disaster Response: Retrieving Building Damage from Sentinel-1 and Sentinel-2
by: Dietrich, Olivier, et al.
Published: (2025)
by: Dietrich, Olivier, et al.
Published: (2025)
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
by: Hu, Qianjiang, et al.
Published: (2024)
by: Hu, Qianjiang, et al.
Published: (2024)
Dynamic LiDAR Re-simulation using Compositional Neural Fields
by: Wu, Hanfeng, et al.
Published: (2023)
by: Wu, Hanfeng, et al.
Published: (2023)
Building-PCC: Building Point Cloud Completion Benchmarks
by: Gao, Weixiao, et al.
Published: (2024)
by: Gao, Weixiao, et al.
Published: (2024)
Similar Items
-
Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph
by: Kim, Donghyun, et al.
Published: (2026) -
APCoTTA: Continual Test-Time Adaptation for Semantic Segmentation of Airborne LiDAR Point Clouds
by: Gao, Yuan, et al.
Published: (2025) -
TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023) -
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
by: Wu, Yang, et al.
Published: (2024) -
NeRF-LiDAR: Generating Realistic LiDAR Point Clouds with Neural Radiance Fields
by: Zhang, Junge, et al.
Published: (2023)