CULTURE3D: A Large-Scale and Diverse Dataset of Cultural Landmarks and Terrains for Gaussian-Based Scene Rendering

TL;DR

CULTURE3D is a comprehensive large-scale dataset of culturally significant landmarks and terrains, enabling advanced 3D reconstruction and scene rendering research with unprecedented detail and diversity.

Contribution

We introduce CULTURE3D, a large, detailed, and diverse dataset of 20 cultural landmarks, supporting large-scale 3D reconstruction and benchmarking Gaussian Splatting methods.

Findings

Supports detailed 3D reconstruction tasks

Establishes a new benchmark for Gaussian Splatting

Enables diverse cultural scene modeling

Abstract

Current state-of-the-art 3D reconstruction models face limitations in building extra-large scale outdoor scenes, primarily due to the lack of sufficiently large-scale and detailed datasets. In this paper, we present a extra-large fine-grained dataset with 10 billion points composed of 41,006 drone-captured high-resolution aerial images, covering 20 diverse and culturally significant scenes from worldwide locations such as Cambridge Uni main buildings, the Pyramids, and the Forbidden City Palace. Compared to existing datasets, ours offers significantly larger scale and higher detail, uniquely suited for fine-grained 3D applications. Each scene contains an accurate spatial layout and comprehensive structural information, supporting detailed 3D reconstruction tasks. By reconstructing environments using these detailed images, our dataset supports multiple applications, including outputs in the widely adopted COLMAP format, establishing a novel benchmark for evaluating state-of-the-art large-scale Gaussian Splatting methods.The dataset's flexibility encourages innovations and supports model plug-ins, paving the way for future 3D breakthroughs. All datasets and code will be open-sourced for community use.