DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion

Weijie Wang; Jiagang Zhu; Zeyu Zhang; Xiaofeng Wang; Zheng Zhu; Guosheng Zhao; Chaojun Ni; Haoxiao Wang; Guan Huang; Xinze Chen; Yukun Zhou; Wenkang Qin; Duochao Shi; Haoyun Li; Yicheng Xiao; Donny Y. Chen; Jiwen Lu

arXiv · 2510.15264

DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion

Weijie Wang·Jiagang Zhu·Zeyu Zhang·Xiaofeng Wang·Zheng Zhu·Guosheng Zhao·Chaojun Ni·Haoxiao Wang·Guan Huang·Xinze Chen·Yukun Zhou·Wenkang Qin·Duochao Shi·Haoyun Li·Yicheng Xiao·Donny Y. Chen·Jiwen Lu

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Abstract

We present DriveGen3D, a novel framework for generating high-quality and highly controllable dynamic 3D driving scenes that addresses critical limitations in existing methodologies. Current approaches to driving scene synthesis either suffer from prohibitive computational demands for extended temporal generation, focus exclusively on prolonged video synthesis without 3D representation, or restrict themselves to static single-scene reconstruction. Our work bridges this methodological gap by integrating accelerated long-term video generation with large-scale dynamic scene reconstruction through multimodal conditional control. DriveGen3D introduces a unified pipeline consisting of two specialized components: FastDrive-DiT, an efficient video diffusion transformer for high-resolution, temporally coherent video synthesis under text and Bird's-Eye-View (BEV) layout guidance; and FastRecon3D, a feed-forward module that rapidly builds 3D Gaussian representations across time, ensuring spatial-temporal consistency. DriveGen3D enable the generation of long driving videos (up to $800\times424$ at $12$ FPS) and corresponding 3D scenes, achieving state-of-the-art results while maintaining efficiency.

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Weijie Wang, Jiagang Zhu, Zeyu Zhang, Xiaofeng Wang, Zheng Zhu, Guosheng Zhao, Chaojun Ni, Haoxiao Wang, Guan Huang, Xinze Chen, Yukun Zhou, Wenkang Qin, Duochao Shi, Haoyun Li, Yicheng Xiao, Donny Y. Chen, Jiwen Lu. 2026-05-25. DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion. https://arxiv.org/abs/2510.15264

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