DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Guosheng, Ni, Chaojun, Wang, Xiaofeng, Zhu, Zheng, Zhang, Xueyang, Wang, Yida, Huang, Guan, Chen, Xinze, Wang, Boyuan, Zhang, Youyi, Mei, Wenjun, Wang, Xingang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
by: Zhao, Guosheng, et al.
Published: (2024)
by: Zhao, Guosheng, et al.
Published: (2024)
ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation
by: Zhao, Guosheng, et al.
Published: (2025)
by: Zhao, Guosheng, et al.
Published: (2025)
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration
by: Ni, Chaojun, et al.
Published: (2024)
by: Ni, Chaojun, et al.
Published: (2024)
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction
by: Ni, Chaojun, et al.
Published: (2025)
by: Ni, Chaojun, et al.
Published: (2025)
HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation
by: Wang, Boyuan, et al.
Published: (2025)
by: Wang, Boyuan, et al.
Published: (2025)
UniDriveDreamer: A Single-Stage Multimodal World Model for Autonomous Driving
by: Zhao, Guosheng, et al.
Published: (2026)
by: Zhao, Guosheng, et al.
Published: (2026)
HumanDreamer-X: Photorealistic Single-image Human Avatars Reconstruction via Gaussian Restoration
by: Wang, Boyuan, et al.
Published: (2025)
by: Wang, Boyuan, et al.
Published: (2025)
EmbodieDreamer: Advancing Real2Sim2Real Transfer for Policy Training via Embodied World Modeling
by: Wang, Boyuan, et al.
Published: (2025)
by: Wang, Boyuan, et al.
Published: (2025)
DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion
by: Wang, Weijie, et al.
Published: (2025)
by: Wang, Weijie, et al.
Published: (2025)
WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens
by: Wang, Xiaofeng, et al.
Published: (2024)
by: Wang, Xiaofeng, et al.
Published: (2024)
WonderFree: Enhancing Novel View Quality and Cross-View Consistency for 3D Scene Exploration
by: Ni, Chaojun, et al.
Published: (2025)
by: Ni, Chaojun, et al.
Published: (2025)
MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training
by: Li, Haoyun, et al.
Published: (2025)
by: Li, Haoyun, et al.
Published: (2025)
WonderTurbo: Generating Interactive 3D World in 0.72 Seconds
by: Ni, Chaojun, et al.
Published: (2025)
by: Ni, Chaojun, et al.
Published: (2025)
DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving
by: Cai, Kaiwen, et al.
Published: (2025)
by: Cai, Kaiwen, et al.
Published: (2025)
GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control
by: Chen, Anthony, et al.
Published: (2025)
by: Chen, Anthony, et al.
Published: (2025)
4DRadar-GS: Self-Supervised Dynamic Driving Scene Reconstruction with 4D Radar
by: Tang, Xiao, et al.
Published: (2025)
by: Tang, Xiao, et al.
Published: (2025)
ReconPhys: Reconstruct Appearance and Physical Attributes from Single Video
by: Wang, Boyuan, et al.
Published: (2026)
by: Wang, Boyuan, et al.
Published: (2026)
One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
by: Chen, Yulong, et al.
Published: (2026)
by: Chen, Yulong, et al.
Published: (2026)
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
by: Min, Chen, et al.
Published: (2024)
by: Min, Chen, et al.
Published: (2024)
LiSTAR: Ray-Centric World Models for 4D LiDAR Sequences in Autonomous Driving
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
CarDreamer: Open-Source Learning Platform for World Model based Autonomous Driving
by: Gao, Dechen, et al.
Published: (2024)
by: Gao, Dechen, et al.
Published: (2024)
4D Driving Scene Generation With Stereo Forcing
by: Lu, Hao, et al.
Published: (2025)
by: Lu, Hao, et al.
Published: (2025)
SwiftVLA: Unlocking Spatiotemporal Dynamics for Lightweight VLA Models at Minimal Overhead
by: Ni, Chaojun, et al.
Published: (2025)
by: Ni, Chaojun, et al.
Published: (2025)
HoloDrive: Holistic 2D-3D Multi-Modal Street Scene Generation for Autonomous Driving
by: Wu, Zehuan, et al.
Published: (2024)
by: Wu, Zehuan, et al.
Published: (2024)
EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer
by: Dong, Zhehao, et al.
Published: (2025)
by: Dong, Zhehao, et al.
Published: (2025)
DGGT: Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed Images
by: Chen, Xiaoxue, et al.
Published: (2025)
by: Chen, Xiaoxue, et al.
Published: (2025)
ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
by: Yu, Haibao, et al.
Published: (2026)
by: Yu, Haibao, et al.
Published: (2026)
GigaWorld-Policy: An Efficient Action-Centered World--Action Model
by: Ye, Angen, et al.
Published: (2026)
by: Ye, Angen, et al.
Published: (2026)
DreamDrive: Generative 4D Scene Modeling from Street View Images
by: Mao, Jiageng, et al.
Published: (2024)
by: Mao, Jiageng, et al.
Published: (2024)
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
by: Yang, Pengxuan, et al.
Published: (2026)
by: Yang, Pengxuan, et al.
Published: (2026)
MIM4D: Masked Modeling with Multi-View Video for Autonomous Driving Representation Learning
by: Zou, Jialv, et al.
Published: (2024)
by: Zou, Jialv, et al.
Published: (2024)
World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving
by: Guan, Yanchen, et al.
Published: (2025)
by: Guan, Yanchen, et al.
Published: (2025)
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
by: Yang, Yu, et al.
Published: (2024)
by: Yang, Yu, et al.
Published: (2024)
GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting
by: Hao, Junlin, et al.
Published: (2025)
by: Hao, Junlin, et al.
Published: (2025)
SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation
by: Wang, Ruoyu, et al.
Published: (2026)
by: Wang, Ruoyu, et al.
Published: (2026)
Ground4D: Spatially-Grounded Feedforward 4D Reconstruction for Unstructured Off-Road Scenes
by: Wang, Shuo, et al.
Published: (2026)
by: Wang, Shuo, et al.
Published: (2026)
GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning
by: Bao, Xiaoyi, et al.
Published: (2025)
by: Bao, Xiaoyi, et al.
Published: (2025)
SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting
by: Park, Sung-Yeon, et al.
Published: (2025)
by: Park, Sung-Yeon, et al.
Published: (2025)
3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation
by: Zhang, Frank, et al.
Published: (2024)
by: Zhang, Frank, et al.
Published: (2024)
Similar Items
-
DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation
by: Zhao, Guosheng, et al.
Published: (2024) -
ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation
by: Zhao, Guosheng, et al.
Published: (2025) -
ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration
by: Ni, Chaojun, et al.
Published: (2024) -
DriveDreamer-Policy: A Geometry-Grounded World-Action Model for Unified Generation and Planning
by: Zhou, Yang, et al.
Published: (2026) -
ReconDreamer-RL: Enhancing Reinforcement Learning via Diffusion-based Scene Reconstruction
by: Ni, Chaojun, et al.
Published: (2025)