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Jaehwisong/XVR

Learning Multi-View Spatial Reasoning from Cross-View Relations CVPR 2026 Project Page | arXiv | Model: Qwen3-VL-2B-XVR XVR (Cross-View Relations) is a large-scale dataset designed to teach Vision-Language Models (VLMs) spatial reasoning across multiple viewpoints. It comprises 100K vision-question-answer samples derived from 18K diverse 3D scenes (general domain) and 70K robotic manipulation trajectories (robotic domain), spanning three fundamental spatial reasoning tasks:… See the full description on the dataset page: https://huggingface.co/datasets/Jaehwisong/XVR.

Author / organizationJaehwisong
License (as declared)cc-by-4.0
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Created28 May 2026
Last updated at source29 May 2026
multi-view-reasoningrobotic-datasetsvision-language-modelvision-language-action-model
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