This repository contains a collection of large-scale, fine-grained 3D datasets using high-resolution images captured from various locations worldwide. These datasets support multiple applications, including reconstruction, localization, semantic segmentation, and virtual reality.
Our project is fully open-sourced, and all dataset files are available on our Google Drive. In addition, we are actively working on our Unreal Engine project, which will be uploaded as soon as it’s completed. Below is a quick overview of our current resources and their statuses:
Google Drive Contents Google Drive Link
- Raw Images
High-resolution JPEG images for each capture. - Point Cloud Data
Dense and sparse point clouds in.ply
and.pcd
formats. - Processed Data
Includes COLMAP outputs, RealityCapture projects, and TLS-based ground truth files. - Virtual Reality Files
VR-ready 3D scenes with high-detail meshes and point clouds using realisy capture. - Unreal Engine Project
Currently pending upload – to be finished and shared later. (uploading, pending next week)
For an in-depth look at our methodology and results, please refer to our Arxiv Paper (to be updated). You can also explore the complete open-source dataset and supporting code on our GitHub Repository.
We provide datasets for iconic landmarks and cultural heritage sites, each meticulously captured to ensure high accuracy and detail. Below are the available datasets with access links:
-
Buckingham Palace Dataset
A detailed reconstruction of Buckingham Palace, emphasizing architectural elements like gates and sculptural decorations. -
Cambridge Campus Dataset
High-resolution modeling of Cambridge University, ideal for urban planning and mixed-reality applications.This specific dataset contains a Virtual Reality (VR) scene which is available for download and view in future.
-
Egyptian Pyramids and Sphinx Dataset
Captures intricate carvings and erosion patterns of these ancient structures. -
Louvre Museum Dataset
Comprehensive exterior depiction of the Louvre Museum with ornate architectural details. -
Leaning Tower of Pisa Dataset
Detailed reconstruction focusing on the unique tilt and masonry of this historic structure.This specific dataset contains a Virtual Reality (VR) scene which is available for download and view in future.
-
Stonehenge Dataset
Captures the iconic rocks with emphasis on spatial arrangement and structural details. -
Petra Dataset
Offers intricate details of natural stone formations and surrounding environments.This specific dataset contains a Virtual Reality (VR) scene which is available for download and view in future.
-
Trafalgar Square Dataset
High-resolution models of statues and surrounding structures within Trafalgar Square. -
National Art Gallery Dataset
Captures gallery interiors, including paintings, sculptures, and architectural features.This specific dataset contains a Virtual Reality (VR) scene which is available for download and view in future.
-
Forbidden City Dataset
Detailed depiction of Chinese architectural heritage with intricate carvings and roof patterns. -
Longmen Grottoes Dataset
High-resolution carvings of the Longmen Grottoes, capturing natural weathering effects.This specific dataset contains a Virtual Reality (VR) scene which is available for download and view in future.
- Images: High-resolution JPEG images named as
<image_number>.jpg
. - Point Cloud Data: Dense and sparse point clouds in
.ply
and.pcd
formats.
- COLMAP Outputs: Includes reconstruction data in the COLMAP format.
- RealityCapture Projects: Reconstruction results with features such as camera parameters, dense and sparse point clouds, undistorted images, and depth maps.
- Ground Truth: TLS (Terrestrial Laser Scanning)-based high-accuracy reconstruction files.
Reconstructed VR-ready 3D scenes with high-detail meshes and point clouds.
- Reconstruction and Localization: Benchmarks for SLAM, SfM, and radiance field-based methods like Neural Radiance Fields and Gaussian Splatting.
- Virtual Reality Integration: Ready-to-use models for VR applications with high-resolution details.
- Cultural Preservation: Enables digital preservation and restoration planning.
- Research and Training: Supports training machine learning models for segmentation, reconstruction, and navigation.