PVNet: Point-Voxel Interaction LiDAR Scene Upsampling Via Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Cheng, Xianjing, Wu, Lintai, Wang, Zuowen, Hou, Junhui, Wen, Jie, Xu, Yong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024)
by: Wu, Lintai, et al.
Published: (2024)
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
by: Wu, Lintai, et al.
Published: (2022)
by: Wu, Lintai, et al.
Published: (2022)
TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023)
by: Yang, Bin, et al.
Published: (2023)
Fast LiDAR Upsampling using Conditional Diffusion Models
by: Helgesen, Sander Elias Magnussen, et al.
Published: (2024)
by: Helgesen, Sander Elias Magnussen, et al.
Published: (2024)
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors
by: Ahn, Jeongho, et al.
Published: (2024)
by: Ahn, Jeongho, et al.
Published: (2024)
3D Shape Completion on Unseen Categories:A Weakly-supervised Approach
by: Wu, Lintai, et al.
Published: (2024)
by: Wu, Lintai, et al.
Published: (2024)
Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, 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)
by: Liu, Jiuming, 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)
by: Fang, Jin, et al.
Published: (2023)
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
by: Zhang, Shengyuan, et al.
Published: (2024)
by: Zhang, Shengyuan, et al.
Published: (2024)
Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
by: Kim, Jaeyeul, et al.
Published: (2024)
by: Kim, Jaeyeul, et al.
Published: (2024)
Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration
by: Zhang, Yifan, et al.
Published: (2024)
by: Zhang, Yifan, et al.
Published: (2024)
Towards Realistic Scene Generation with LiDAR Diffusion Models
by: Ran, Haoxi, et al.
Published: (2024)
by: Ran, Haoxi, et al.
Published: (2024)
Adverse Weather Conditions Augmentation of LiDAR Scenes with Latent Diffusion Models
by: Matteazzi, Andrea, et al.
Published: (2025)
by: Matteazzi, Andrea, et al.
Published: (2025)
3D Learnable Supertoken Transformer for LiDAR Point Cloud Scene Segmentation
by: Lu, Dening, et al.
Published: (2024)
by: Lu, Dening, et al.
Published: (2024)
Physics-Aware Diffusion for LiDAR Point Cloud Densification
by: Zhang, Zeping, et al.
Published: (2026)
by: Zhang, Zeping, et al.
Published: (2026)
Text2LiDAR: Text-guided LiDAR Point Cloud Generation via Equirectangular Transformer
by: Wu, Yang, et al.
Published: (2024)
by: Wu, Yang, et al.
Published: (2024)
Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
by: Nunes, Lucas, et al.
Published: (2024)
by: Nunes, Lucas, et al.
Published: (2024)
Not All Points Are Equal: Uncertainty-Aware 4D LiDAR Scene Synthesis
by: Xu, Xiang, et al.
Published: (2026)
by: Xu, Xiang, et al.
Published: (2026)
LiDAR-GS++:Improving LiDAR Gaussian Reconstruction via Diffusion Priors
by: Chen, Qifeng, et al.
Published: (2025)
by: Chen, Qifeng, et al.
Published: (2025)
Diffusion Distillation With Direct Preference Optimization For Efficient 3D LiDAR Scene Completion
by: Zhao, An, et al.
Published: (2025)
by: Zhao, An, et al.
Published: (2025)
ELMO: Enhanced Real-time LiDAR Motion Capture through Upsampling
by: Jang, Deok-Kyeong, et al.
Published: (2024)
by: Jang, Deok-Kyeong, et al.
Published: (2024)
A Self-Conditioned Representation Guided Diffusion Model for Realistic Text-to-LiDAR Scene Generation
by: Qu, Wentao, et al.
Published: (2025)
by: Qu, Wentao, et al.
Published: (2025)
LiDAR-HMR: 3D Human Mesh Recovery from LiDAR
by: Fan, Bohao, et al.
Published: (2023)
by: Fan, Bohao, et al.
Published: (2023)
DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
by: Cai, Kaiwen, et al.
Published: (2025)
by: Cai, Kaiwen, et al.
Published: (2025)
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)
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)
Unlocking Generalization Power in LiDAR Point Cloud Registration
by: Zeng, Zhenxuan, et al.
Published: (2025)
by: Zeng, Zhenxuan, et al.
Published: (2025)
SuperFusion: Multilevel LiDAR-Camera Fusion for Long-Range HD Map Generation
by: Dong, Hao, et al.
Published: (2022)
by: Dong, Hao, et al.
Published: (2022)
OLiDM: Object-aware LiDAR Diffusion Models for Autonomous Driving
by: Yan, Tianyi, et al.
Published: (2024)
by: Yan, Tianyi, et al.
Published: (2024)
VXP: Voxel-Cross-Pixel Large-scale Image-LiDAR Place Recognition
by: Li, Yun-Jin, et al.
Published: (2024)
by: Li, Yun-Jin, et al.
Published: (2024)
Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation
by: Jang, Youngdong, et al.
Published: (2026)
by: Jang, Youngdong, et al.
Published: (2026)
Is Your LiDAR Placement Optimized for 3D Scene Understanding?
by: Li, Ye, et al.
Published: (2024)
by: Li, Ye, et al.
Published: (2024)
Analyzing Infrastructure LiDAR Placement with Realistic LiDAR Simulation Library
by: Cai, Xinyu, et al.
Published: (2022)
by: Cai, Xinyu, et al.
Published: (2022)
ICP-Flow: LiDAR Scene Flow Estimation with ICP
by: Lin, Yancong, et al.
Published: (2024)
by: Lin, Yancong, et al.
Published: (2024)
LaGen: Towards Autoregressive LiDAR Scene Generation
by: Zhou, Sizhuo, et al.
Published: (2025)
by: Zhou, Sizhuo, et al.
Published: (2025)
LiDARDraft: Generating LiDAR Point Cloud from Versatile Inputs
by: Wei, Haiyun, et al.
Published: (2025)
by: Wei, Haiyun, et al.
Published: (2025)
LiFlow: Flow Matching for 3D LiDAR Scene Completion
by: Matteazzi, Andrea, et al.
Published: (2026)
by: Matteazzi, Andrea, et al.
Published: (2026)
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)
Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion
by: Liu, Haisong, et al.
Published: (2023)
by: Liu, Haisong, et al.
Published: (2023)
Similar Items
-
Unsupervised 3D Point Cloud Completion via Multi-view Adversarial Learning
by: Wu, Lintai, et al.
Published: (2024) -
Leveraging Single-View Images for Unsupervised 3D Point Cloud Completion
by: Wu, Lintai, et al.
Published: (2022) -
TULIP: Transformer for Upsampling of LiDAR Point Clouds
by: Yang, Bin, et al.
Published: (2023) -
Fast LiDAR Upsampling using Conditional Diffusion Models
by: Helgesen, Sander Elias Magnussen, et al.
Published: (2024) -
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors
by: Ahn, Jeongho, et al.
Published: (2024)