Author

Chu-Hang Zou

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Preprint Oct 2026

Render to Reason: Novel-View Semantic Prediction Improves Spatial Understanding in VLMs

Recent works augment Vision-Language Models with geometry features from pretrained 3D models, expecting that the geometric signal will boost spatial reasoning. However, we find that simply fusing geometry features and training on standard spatial QA yields only marginal improvements on high-level multi-hop tasks. We at...

Yuqun Wu, Yao Xiao, Chu-Hang Zou et al. · 0 citations

#machine learning Preprint Sep 2026

SAM-V: Geometry-Aware Segment Anything for Multi-View Instance Segmentation

SAM-V introduces a prompt-fusion mechanism that enriches sparse SAM prompt tokens with view-specific camera tokens and local VGGT features, making the prompt representation both view-aware and spatially grounded, together with a mask decoder that attends to dense 2D and 3D features.

Jiang-Shan Gong, Yuqun Wu, Qiqian Fu et al. · 1 citation