scenes
mit-indoor-scenesdialogue-scenes-genvit-base-movie-scenes-v1ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenesvinvl-base-finetuned-hl-scenes-image-captioninggit-base-captioning-ft-hl-scenesvirtual-reality-combination-blending-real-street-scenes-and-cartoon-characters-fun-art-fluxreal-scenes-flux-enhancing-e-commerce-product-posters-through-innovative-visual-design
Datasets
All datasets matching “scenes”PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes
PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes Dataset Card
Dataset Description
PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes is a large-scale synthetic dataset of physically-simulated multi-object interaction scenes, generated using NVIDIA Isaac Sim and the PhysX physics engine. It is designed to train and evaluate AI models on physical reasoning, rigid body dynamics, optical flow, depth estimation, and scene understanding.
Each clip… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Physical-Interaction-Scenes.gs_scenes
A High-Fidelity Navigation Simulator with Dynamic Gaussian SplattingECCV 2026
Ziyuan Xia •
Jingyi Xu •
Chong Cui •
Yuanhong Yu •
Jiazhao Zhang •
Qingsong Yan •
Tao Ni
Junbo Chen •
Xiaowei Zhou •
Hujun Bao •
Ruizhen Hu •
Sida Peng
🤗 About This Dataset
This is the official GS dataset for Habitat-GS, a high-fidelity embodied navigation simulator built on 3D Gaussian Splatting and dynamic gaussian avatars. The dataset contains… See the full description on the dataset page: https://huggingface.co/datasets/RukawaY/gs_scenes.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.PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes
PhysicalAI SDG-Warehouse
PhysicalAI SDG-Warehouse is a synthetic, fully-annotated video dataset of staged industrial-safety events captured in a simulated warehouse environment. It contains approximately 123k video clips, totaling roughly 412 hours of footage at 1920x1080 resolution and 30 frames per second, organized across four scenarios: a forklift near-miss with a human worker, a warehouse fire with worker evacuation, a forklift collision with a storage shelf, and a routine… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Warehouse-Operations-Scenes.PhysicalAI-WorldModel-Synthetic-Digital-Human-Scenes
Dataset Description:
The SDG-SynHuman is a large-scale synthetic video dataset of digital humans rendered in diverse indoor and outdoor 3D environments. The dataset contains 236,937 clips, totaling approximately 5,841 hours of video, and is designed to support training and post-training of NVIDIA Cosmos world foundation models and related physical AI research.
Each sample is a temporally coherent 60-120 second video clip rendered at 1080p and 30 fps. Clips contain… See the full description on the dataset page: https://huggingface.co/datasets/nvidia/PhysicalAI-WorldModel-Synthetic-Digital-Human-Scenes.MIT-Indoor-Scenes