vai
Datasets
All datasets matching “vai”UrbanVerse-Training-Scenes
UrbanVerse Training Scenes (Urban Cousins)
A collection of ready-to-simulate urban 3D scenes in OpenUSD
for NVIDIA Isaac Sim / Isaac Lab, released by the
VAIL-UCLA lab. Each scene is a self-contained
USD stage with all of its materials and textures, so it can be opened and
simulated directly.
The scenes are generated with UrbanVerse — Scaling Urban Simulation by
Watching City-Tour Videos (Liu et al., ICLR 2026,
arXiv:2510.15018,
project page) — whose UrbanVerse-Gen
pipeline… See the full description on the dataset page: https://huggingface.co/datasets/UCLA-VAIL/UrbanVerse-Training-Scenes.vaistudio-data
bep40/vaistudio-data
Generated by ML Intern
This dataset repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
Try ML Intern: https://smolagents-ml-intern.hf.space
Source code: https://github.com/huggingface/ml-intern
Usage
from datasets import load_dataset
dataset = load_dataset("bep40/vaistudio-data")
ImageNetV2UrbanVerse-Assets-Sim-ready
UrbanVerse-Assets-Sim-ready
Simulation-ready USD conversions of the UrbanVerse-100K
3D asset database, for NVIDIA Isaac Sim ≥ 5 / Isaac Lab.
Project: UrbanVerse: Scaling Urban Simulation by Watching City-Tour Videos (ICLR 2026) ·
Code: VAIL-UCLA/UrbanVerse
What "sim-ready" means here
Each asset was converted from its metric, ground-aligned GLB
(adjusted_asset_scaled_bottomed.glb) with Isaac Lab's MeshConverter and validated
against the source mesh:
property… See the full description on the dataset page: https://huggingface.co/datasets/UCLA-VAIL/UrbanVerse-Assets-Sim-ready.vaihingen-cr
Paper
This dataset is released as part of our ECCV 2026 paper:
Interpretation-Oriented Cloud Removal via Observation-Anchored Residual Flow with Geo-Contextual Alignment
Paper page: https://huggingface.co/papers/2607.02471
arXiv: https://arxiv.org/abs/2607.02471
Code: https://github.com/wzy6055/GACR
Legislation-Tracker-Data