# The Sketchfab 3D Creative Commons Collection (S3D3C)

arXiv: https://arxiv.org/abs/2407.17205 · HTML: https://mlsanity.com/paper/2407.17205/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 Jul 2024.

## Built on by (most cited first, 4 of 4)

- [In-2-4D: Inbetweening from Two Single-View Images to 4D Generation](https://mlsanity.com/paper/2504.08366/) (2025)
- [SeeThrough3D: Occlusion Aware 3D Control in Text-to-Image Generation](https://mlsanity.com/paper/2602.23359/) (2026)
- [Hard-Label Black-Box Attacks on 3D Point Clouds](https://mlsanity.com/paper/2412.00404/) (2024)
- [MAPS: A Synthetic Dataset for Probing Vision Models in a Controlled 3D Scene Space](https://mlsanity.com/paper/2605.20549/) (2026)

## Abstract (arXiv)

The technology to capture, create, and use three-dimensional (3D) models has become increasingly accessible in recent years. With increasing numbers of use cases for 3D models and collections of rapidly increasing size, better methods to analyze the content of 3D models are required. While previously proposed 3D model collections for research purposes exist, these often contain only untextured geometry and are typically designed for a specific application, which limits their use in quantitative evaluations of modern 3D model analysis methods. In this paper, we introduce the Sketchfab 3D Creative Commons Collection (S3D3C), a new 3D model research collection consisting of 40,802 creative commons licensed models downloaded from the 3D model platform Sketchfab. By including popular freely available models with a wide variety of technical properties, such as textures, materials, and animations, we enable its use in the evaluation of state-of-the-art geometry-based and view-based 3D model analysis and retrieval techniques.