This repository contains the official PyTorch implementation of SpatialScore: https://arxiv.org/abs/2505.17012/.
Our new version paper has been accepted by CVPR 2026, and we have updated our up-to-date code and data! Feel free to reach out for discussions!
Project Page · Paper · SpatialScore_Benchmark · SpatialCorpus · Model
Please check out SpaitalCorpus to download our introduced training resources (SpatialCorpus).
You can follow the commands below to prepare the data:
huggingface-cli download --resume-download --repo-type dataset haoningwu/SpatialCorpus --local-dir ./ --local-dir-use-symlinks False
unzip SpatialCorpus.zip
Our codebase integrates the training script for Qwen3-VL. Once you have prepared the dataset and configured the corresponding data paths, you can use the following script to conduct SFT on the Qwen3-VL model using SpatialCorpus:
cd Qwen3-VL/qwen-vl-finetune
bash ./scripts/sft_qwen3_8b.sh
For further details, please refer to the official Qwen3-VL tutorial.
If you use this code and data for your research or project, please cite:
@inproceedings{wu2026spatialscore,
author = {Wu, Haoning and Huang, Xiao and Chen, Yaohui and Zhang, Ya and Wang, Yanfeng and Xie, Weidi},
title = {SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
}
If you have any questions, please feel free to contact haoningwu3639@gmail.com.
4 commits
This repository contains the official PyTorch implementation of SpatialScore: https://arxiv.org/abs/2505.17012/.
Our new version paper has been accepted by CVPR 2026, and we have updated our up-to-date code and data! Feel free to reach out for discussions!
Project Page · Paper · SpatialScore_Benchmark · SpatialCorpus · Model
Please check out SpaitalCorpus to download our introduced training resources (SpatialCorpus).
You can follow the commands below to prepare the data:
huggingface-cli download --resume-download --repo-type dataset haoningwu/SpatialCorpus --local-dir ./ --local-dir-use-symlinks False
unzip SpatialCorpus.zip
Our codebase integrates the training script for Qwen3-VL. Once you have prepared the dataset and configured the corresponding data paths, you can use the following script to conduct SFT on the Qwen3-VL model using SpatialCorpus:
cd Qwen3-VL/qwen-vl-finetune
bash ./scripts/sft_qwen3_8b.sh
For further details, please refer to the official Qwen3-VL tutorial.
If you use this code and data for your research or project, please cite:
@inproceedings{wu2026spatialscore,
author = {Wu, Haoning and Huang, Xiao and Chen, Yaohui and Zhang, Ya and Wang, Yanfeng and Xie, Weidi},
title = {SpatialScore: Towards Comprehensive Evaluation for Spatial Intelligence},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2026},
}
If you have any questions, please feel free to contact haoningwu3639@gmail.com.
4 commits