Cover Image

4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Xiao, Zhuo, Guirong, Wang, Cong, Zheng, Boyuan, Huang, Minqing, Zheng, Lianqing, Chen, Long, Lu, Shouyi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MSDNet: Efficient 4D Radar Super-Resolution via Multi-Stage Distillation
by: Huang, Minqing, et al.
Published: (2025)

R2LDM: An Efficient 4D Radar Super-Resolution Framework Leveraging Diffusion Model
by: Zheng, Boyuan, et al.
Published: (2025)

DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations
by: Lu, Shouyi, et al.
Published: (2025)

TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition
by: Lu, Shouyi, et al.
Published: (2025)

MultiEditor: Controllable Multimodal Object Editing for Driving Scenarios Using 3D Gaussian Splatting Priors
by: Lu, Shouyi, et al.
Published: (2025)

Doracamom: Joint 3D Detection and Occupancy Prediction with Multi-view 4D Radars and Cameras for Omnidirectional Perception
by: Zheng, Lianqing, et al.
Published: (2025)

DeSiRe-GS: 4D Street Gaussians for Static-Dynamic Decomposition and Surface Reconstruction for Urban Driving Scenes
by: Peng, Chensheng, et al.
Published: (2024)

RaGS: Unleashing 3D Gaussian Splatting from 4D Radar and Monocular Cues for 3D Object Detection
by: Bai, Xiaokai, et al.
Published: (2025)

Diff-GNSS: Diffusion-based Pseudorange Error Estimation
by: Zhu, Jiaqi, et al.
Published: (2025)

OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving
by: Zheng, Lianqing, et al.
Published: (2024)

DriveTok: 3D Driving Scene Tokenization for Unified Multi-View Reconstruction and Understanding
by: Zhuo, Dong, et al.
Published: (2026)

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
by: Zhao, Guosheng, et al.
Published: (2024)

L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection
by: Huang, Xun, et al.
Published: (2024)

DriveSplat: Unified Neural Gaussian Reconstruction for Dynamic Driving Scenes
by: Wang, Cong, et al.
Published: (2025)

SD4R: Sparse-to-Dense Learning for 3D Object Detection with 4D Radar
by: Bai, Xiaokai, et al.
Published: (2026)

Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos
by: Yuan, Chengbo, et al.
Published: (2024)

DynamicVGGT: Learning Dynamic Point Maps for 4D Scene Reconstruction in Autonomous Driving
by: He, Zhuolin, et al.
Published: (2026)

DGGT: Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed Images
by: Chen, Xiaoxue, et al.
Published: (2025)

LiHi-GS: LiDAR-Supervised Gaussian Splatting for Highway Driving Scene Reconstruction
by: Kung, Pou-Chun, et al.
Published: (2024)

4D Driving Scene Generation With Stereo Forcing
by: Lu, Hao, et al.
Published: (2025)

ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
by: Yu, Haibao, et al.
Published: (2026)

MetaOcc: Spatio-Temporal Fusion of Surround-View 4D Radar and Camera for 3D Occupancy Prediction with Dual Training Strategies
by: Yang, Long, et al.
Published: (2025)

DIAL-GS: Dynamic Instance Aware Reconstruction for Label-free Street Scenes with 4D Gaussian Splatting
by: Su, Chenpeng, et al.
Published: (2025)

InnerGS: Internal Scenes Reconstruction and Segmentation via Factorized 3D Gaussian Splatting
by: Liang, Shuxin, et al.
Published: (2025)

Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation
by: Fu, Jingyun, et al.
Published: (2026)

Boosting Instance Awareness via Cross-View Correlation with 4D Radar and Camera for 3D Object Detection
by: Bai, Xiaokai, et al.
Published: (2026)

DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving
by: Lu, Hao, et al.
Published: (2024)

RadarSplat: Radar Gaussian Splatting for High-Fidelity Data Synthesis and 3D Reconstruction of Autonomous Driving Scenes
by: Kung, Pou-Chun, et al.
Published: (2025)

Bootstrapping Autonomous Driving Radars with Self-Supervised Learning
by: Hao, Yiduo, et al.
Published: (2023)

RC-GeoCP: Geometric Consensus for Radar-Camera Collaborative Perception
by: Bai, Xiaokai, et al.
Published: (2026)

Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting
by: Huang, Tingxuan, et al.
Published: (2026)

Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction
by: Jiang, Zeren, et al.
Published: (2025)

Momentum-GS: Momentum Gaussian Self-Distillation for High-Quality Large Scene Reconstruction
by: Fan, Jixuan, et al.
Published: (2024)

BARD-GS: Blur-Aware Reconstruction of Dynamic Scenes via Gaussian Splatting
by: Lu, Yiren, et al.
Published: (2025)

Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting
by: Huang, Yiming, et al.
Published: (2024)

SurgicalGS: Dynamic 3D Gaussian Splatting for Accurate Robotic-Assisted Surgical Scene Reconstruction
by: Chen, Jialei, et al.
Published: (2024)

4DRaL: Bridging 4D Radar with LiDAR for Place Recognition using Knowledge Distillation
by: Huang, Ningyuan, et al.
Published: (2026)

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
by: Min, Chen, et al.
Published: (2024)

RGE-GS: Reward-Guided Expansive Driving Scene Reconstruction via Diffusion Priors
by: Du, Sicong, et al.
Published: (2025)

S3R-GS: Streamlining the Pipeline for Large-Scale Street Scene Reconstruction
by: Zheng, Guangting, et al.
Published: (2025)