:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Dekai, Hu, Yixuan, Liu, Youquan, Lu, Dongyue, Kong, Lingdong, Ilic, Slobodan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2505.22643
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Generate 4D LiDAR Sequences
by: Liang, Ao, et al.
Published: (2025)

LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences
by: Liang, Ao, et al.
Published: (2025)

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

OmniLiDAR: A Unified Diffusion Framework for Multi-Domain 3D LiDAR Generation
by: Liu, Youquan, et al.
Published: (2026)

La La LiDAR: Large-Scale Layout Generation from LiDAR Data
by: Liu, Youquan, et al.
Published: (2025)

SeaLion: Semantic Part-Aware Latent Point Diffusion Models for 3D Generation
by: Zhu, Dekai, et al.
Published: (2025)

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

U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
by: Xu, Xiang, et al.
Published: (2025)

Multi-Space Alignments Towards Universal LiDAR Segmentation
by: Liu, Youquan, et al.
Published: (2024)

LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
by: Xu, Xiang, et al.
Published: (2025)

Veila: Panoramic LiDAR Generation from a Monocular RGB Image
by: Liu, Youquan, et al.
Published: (2025)

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies
by: Kong, Lingdong, et al.
Published: (2024)

NUC-Net: Non-uniform Cylindrical Partition Network for Efficient LiDAR Semantic Segmentation
by: Wang, Xuzhi, et al.
Published: (2025)

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
by: Xu, Xiang, et al.
Published: (2023)

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
by: Sun, Jiahao, et al.
Published: (2024)

Generative Data Augmentation for Object Point Cloud Segmentation
by: Zhu, Dekai, et al.
Published: (2025)

GEM: Generating LiDAR World Model via Deformable Mamba
by: Wu, Yang, et al.
Published: (2026)

Perspective-Invariant 3D Object Detection
by: Liang, Ao, et al.
Published: (2025)

Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining
by: Xu, Xiang, et al.
Published: (2025)

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

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

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

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
by: Xu, Xiang, et al.
Published: (2025)

LiDAR-EDIT: LiDAR Data Generation by Editing the Object Layouts in Real-World Scenes
by: Ho, Shing-Hei, et al.
Published: (2024)

3EED: Ground Everything Everywhere in 3D
by: Li, Rong, et al.
Published: (2025)

LaGen: Towards Autoregressive LiDAR Scene Generation
by: Zhou, Sizhuo, et al.
Published: (2025)

Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
by: Liu, Haisong, et al.
Published: (2023)

GEAL: Generalizable 3D Affordance Learning with Cross-Modal Consistency
by: Lu, Dongyue, et al.
Published: (2024)

Talk2Event: Grounded Understanding of Dynamic Scenes from Event Cameras
by: Kong, Lingdong, et al.
Published: (2025)

On Deep Learning for Geometric and Semantic Scene Understanding Using On-Vehicle 3D LiDAR
by: Li, Li
Published: (2024)

Semantics-Guided Moving Object Segmentation with 3D LiDAR
by: Gu, Shuo, et al.
Published: (2022)

Towards Generalized Range-View LiDAR Segmentation in Adverse Weather
by: Yang, Longyu, et al.
Published: (2025)

L2COcc: Lightweight Camera-Centric Semantic Scene Completion via Distillation of LiDAR Model
by: Wang, Ruoyu, 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)

TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
by: Wu, Xiaopei, et al.
Published: (2024)

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
by: Xu, Jingyi, et al.
Published: (2024)

Parallel Neural Computing for Scene Understanding from LiDAR Perception in Autonomous Racing
by: Sah, Suwesh Prasad
Published: (2024)

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather
by: Yang, Longyu, et al.
Published: (2025)

Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation
by: Shojaei, Hanieh, et al.
Published: (2024)

Range-Edit: Semantic Mask Guided Outdoor LiDAR Scene Editing
by: Uppur, Suchetan G., et al.
Published: (2025)