nv-tlabs/SCube
[NeurIPS 2024] SCube: Instant Large-Scale Scene Reconstruction using VoxSplats
This project helps quickly create detailed 3D models of large outdoor environments using existing image and LiDAR data from autonomous driving systems. You input a sequence of camera images and LiDAR scans, and it outputs a complete 3D scene reconstruction ready for visualization or further analysis. It's designed for researchers and engineers working on autonomous vehicles, robotics, or large-scale virtual environment generation.
521 stars. No commits in the last 6 months.
Use this if you need to generate high-fidelity, instant 3D reconstructions of complex outdoor scenes from sensor data, particularly for autonomous vehicle development or simulation.
Not ideal if you're looking to reconstruct small, indoor environments or if you don't have access to extensive image and LiDAR datasets from moving platforms.
Stars
521
Forks
25
Language
Python
License
—
Category
Last pushed
Oct 14, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/diffusion/nv-tlabs/SCube"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jayin92/Skyfall-GS
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery
Tencent-Hunyuan/Hunyuan3D-2
High-Resolution 3D Assets Generation with Large Scale Hunyuan3D Diffusion Models.
ActiveVisionLab/gaussctrl
[ECCV 2024] GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
caiyuanhao1998/Open-DiffusionGS
Baking Gaussian Splatting into Diffusion Denoiser for Fast and Scalable Single-stage Image-to-3D...
deepseek-ai/DreamCraft3D
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with...