README.md

---
license: apache-2.0
task_categories:
- image-to-3d
tags:
- fmri
- 3d-reconstruction
- neuroscience
- brain-decoding
---

# fMRI-Shape Dataset: A Component of the fMRI-3D Dataset for MinD-3D++

This repository contains the `fMRI-Shape` dataset, a component of the comprehensive fMRI-3D dataset introduced and utilized in the paper [MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset](https://huggingface.co/papers/2409.11315). This work builds upon the initial "MinD-3D" research.

The fMRI-3D dataset consists of two components: `fMRI-Shape` (this dataset) and [fMRI-Objaverse](https://huggingface.co/datasets/Fudan-fMRI/fMRI-Objaverse). Both datasets are designed to advance 3D visual reconstruction from fMRI data.

**Project Page:** https://jianxgao.github.io/MinD-3D

**Code (GitHub):** https://github.com/JianxGao/MinD-3D

## Overview
MinD-3D (and MinD-3D++) aims to reconstruct high-quality 3D objects based on fMRI data. This `fMRI-Shape` dataset contains fMRI recordings and corresponding 3D object stimuli used in this research.

## Repository Structure
- **annotations**: Contains metadata and annotations related to the fMRI data for each subject.
- **sub-00xx**: Each folder corresponds to a specific subject and includes their respective raw and processed fMRI data.
- **stimuli.zip**: A ZIP archive of all videos shown to subjects during the fMRI scans. This file includes the stimuli used across different sessions and is critical for reproducibility of the study findings.
- **camera_pose.zip**: The camera pose for each frame in the videos (each containing 192 frames) in the stimuli.

## Data Description
- **raw_data**: Raw fMRI data collected directly from the imaging machine.
- **npy_data**: Processed data. We utilized fMRIPrep and the methodologies described in our paper to derive and store the data in NumPy format (.npy).

## Citation

If you find our work and datasets useful for your research and applications, please cite the respective papers:

```bibtex
@misc{gao2023mind3d,
  title={MinD-3D: Reconstruct High-quality 3D objects in Human Brain}, 
  author={Jianxiong Gao and Yuqian Fu and Yun Wang and Xuelin Qian and Jianfeng Feng and Yanwei Fu},
  year={2023},
  eprint={2312.07485},
  archivePrefix={arXiv},
  primaryClass={cs.CV}
}
```

```bibtex
@misc{gao2025mind3dadvancingfmribased3d,
  title={MinD-3D++: Advancing fMRI-Based 3D Reconstruction with High-Quality Textured Mesh Generation and a Comprehensive Dataset}, 
  author={Jianxiong Gao and Yanwei Fu and Yuqian Fu and Yun Wang and Xuelin Qian and Jianfeng Feng},
  year={2025},
  eprint={2409.11315},
  archivePrefix={arXiv},
  primaryClass={cs.CV},
  url={https://arxiv.org/abs/2409.11315}, 
}
```