| The processed ScanNet datasets by VGGT-Det. |
|
|
| 1. Run 'cat posed_images.tar.part_0{00,01,02} > posed_images.tar' to merge the split archives into a single tar file. |
| |
| 2. Run 'md5sum -c MD5SUMS.txt' to verify that the files were downloaded successfully. |
| |
| If the dataset is helpful, please cite: |
| |
| ``` |
| @inproceedings{dai2017scannet, |
| title={ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes}, |
| author={Dai, Angela and Chang, Angel X. and Savva, Manolis and Halber, Maciej and Funkhouser, Thomas and Nie{\ss}ner, Matthias}, |
| booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE}, |
| year = {2017} |
| } |
| |
| @inproceedings{cao2026vggtdet, |
| title={VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection}, |
| author={Cao, Yang and Wu, Feize and Dave Chen, Zhenyu and Zhong, Yingji and Hong, Lanqing and Xu, Dan}, |
| booktitle={CVPR}, |
| year={2026} |
| } |
| ``` |
