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[ECCV 2024] MinD-3D: Reconstruct High-quality 3D objects in Human Brain
Overview
MinD-3D aims to reconstruct high-quality 3D objects based on fMRI data.
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 paper useful for your research and applications, please cite using this 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}
}
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