ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning
Paper • 2607.17599 • Published • 2
How to use BAAI/ConsiSpace with Transformers:
# Load model directly
from transformers import AutoProcessor, Qwen2_5_VLForConditionalGenerationWithVGGT
processor = AutoProcessor.from_pretrained("BAAI/ConsiSpace")
model = Qwen2_5_VLForConditionalGenerationWithVGGT.from_pretrained("BAAI/ConsiSpace", device_map="auto")Official model weights for ConsiSpace.
ConsiSpace is a geometry-consistent multimodal framework for spatial reasoning in long-form visual observations.
📄 Paper: https://arxiv.org/abs/2607.17599
@article{huang2026consispace,
title={ConsiSpace: Learning Geometric Consistency Matters for Video Spatial Reasoning},
author={Ting Huang and Zhenyu Zhang and Wenyuan Huang and Jian Yang and Hao Tang},
year={2026},
eprint={2607.17599},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2607.17599},
}