Zheng Zhu

12

Papers

247

Total Citations

Papers (12)

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

ReconDreamer: Crafting World Models for Driving Scene Reconstruction via Online Restoration

DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception

EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Videos Generation

NeurIPS 2025arXiv

ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception

WonderTurbo: Generating Interactive 3D World in 0.72 Seconds

DetRF: Detachable Novel Views Synthesis of Dynamic Scenes Using Backdrop-Driven Neural Radiance Fields

DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation

JTD-UAV: MLLM-Enhanced Joint Tracking and Description Framework for Anti-UAV Systems

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving