Instant NuRec: Feed-Forward 3D Gaussian Reconstruction for Driving Scene Simulation
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...
| Authors | NVIDIA, :, Jiahui Huang et al. |
|---|---|
| Primary category | cs.GR |
| Published | 15 July 2026 |
| Last updated at source | 15 July 2026 |
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