Batch-based Model Registration for Fast 3D Sherd Reconstruction
Paper • 2211.06897 • Published
The dataset is currently empty. Upload or create new data files. Then, you will be able to explore them in the Dataset Viewer.
This dataset contains the batch-organized image and mask data used by the FIRES project, Batch-based Model Registration for Fast 3D Sherd Reconstruction (ICCV 2023).
The data is provided as one ZIP archive per batch under images/:
batch_000.zip through batch_014.zipbatch_XXX/ directory.top_images/, bottom_images/, top_output/masks/, and bottom_output/masks/.top_images and bottom_images directories contain multi-view TIFF images. The mask directories contain the corresponding PNG masks.The batch archives are intended to make it possible to download or process batches independently.
@inproceedings{wang2023sherd,
title={Batch-based Model Registration for Fast 3D Sherd Reconstruction},
author={Wang, Jiepeng and Zhang, Congyi and Wang, Peng and Li, Xin and Cobb, Peter J and Theobalt, Christian and Wang, Wenping},
booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
pages={14519--14529},
year={2023}
}
This dataset is derived from the data associated with the FIRES project. Please consult the project repository and paper for methodological details and usage context.