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LSD-3D generates large-scale 3D driving scenes with accurate geometry

By PulseAugur Editorial · [1 sources] ·

Researchers have developed LSD-3D, a novel method for generating large-scale 3D driving scenes with accurate geometry. This approach combines the generation of proxy geometry and environment representations with score distillation from learned 2D image priors. The resulting scenes are controllable, allowing for prompt-guided geometry and high-fidelity textures, and can be conditioned on map layouts to produce realistic and geometrically consistent 3D environments. AI

IMPACT Enables more realistic and controllable training data for autonomous driving systems.

RANK_REASON The cluster contains a research paper detailing a new method for generating 3D driving scenes. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LSD-3D generates large-scale 3D driving scenes with accurate geometry

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14 / 100
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The cluster contains a research paper detailing a new method for generating 3D driving scenes. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Julian Ost, Andrea Ramazzina, Amogh Joshi, Maximilian B\"omer, Mario Bijelic, Felix Heide ·

    LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding

    arXiv:2508.19204v2 Announce Type: replace-cross Abstract: Large-scale scene data is essential for training and testing in robot learning. Neural reconstruction methods have promised the capability of reconstructing large physically-grounded outdoor scenes from captured sensor dat…

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