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arXiv cs.AI· NVIDIA, :, Jiahui Huang, Jiawei Ren, Michal Tyszkiewicz, Bjoern Haefner, Michael Shelley, Xin Kang, Seung Wook Kim, Ning Xu, Qi Wu, Janick Martinez Esturo, Shengyu Huang, Nick Schneider, Laura Leal-Taixe, Zan Gojcic, Sanja Fidler·· 3 小时前AI 评分51

NVIDIA 发布 Instant NuRec:前馈式 3D 高斯重建加速驾驶场景仿真

Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation

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NVIDIA 团队在 arXiv 发布 Instant NuRec,一种前馈神经重建模型,可将短时多视角驾驶日志经单次前向推理转为可仿真的 3D 高斯泼溅(3DGS)世界。

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Authors:NVIDIA: Jiahui Huang, Jiawei Ren, Michal Tyszkiewicz, Bjoern Haefner, Michael Shelley, Xin Kang, Seung Wook Kim, Ning Xu, Qi Wu, Janick Martinez Esturo, Shengyu Huang, Nick Schneider, Laura Leal-Taixe, Zan Gojcic, Sanja Fidler

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Abstract:3D simulation platforms are critical for autonomous driving because they enable end-to-end policy evaluation, thereby reducing development costs and improving safety. In recent years, neural simulation has become predominant, with methods such as NuRec playing a central role; however, these methods remain relatively slow and typically require per-scene tuning. In this work, we present Instant NuRec, a feed-forward neural reconstruction model that turns a short multi-view driving log into a fully simulatable 3D Gaussian Splatting (3DGS) world in a single forward pass. The model accepts multi-view input from a calibrated camera rig and emits a layered output consisting of static and dynamic 3DGS layers, a sky cubemap, and per-camera ISP corrections, while providing native support for non-pinhole camera models via 3DGUT. It reconstructs a 10-20-second multi-camera scene in roughly 1.5 seconds and achieves a PSNR on the Waymo Open Dataset that is 2.01 dB above the strongest evaluated baseline. Instant NuRec is deeply integrated into NuRec and is compatible with AlpaSim for closed-loop simulation.
Comments: Project Page: this https URL
Subjects: Graphics (cs.GR); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2607.14203 [cs.GR]
  (or arXiv:2607.14203v2 [cs.GR] for this version)
  https://doi.org/10.48550/arXiv.2607.14203

arXiv-issued DOI via DataCite

Submission history

From: Jiahui Huang [view email]
[v1] Wed, 15 Jul 2026 17:50:23 UTC (3,469 KB)
[v2] Wed, 11 Nov 2026 00:06:51 UTC (1,991 KB)

来源:arXiv cs.AI · arxiv.org