Author

Shenlong Wang

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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

Consistent multi-view object segmentation is critical for 3D perception and robotics, yet remains challenging under severe viewpoint and occlusion changes. Existing methods typically perform 3D instance segmentation on point clouds or rely on offline 2D mask-matching pipelines. However, 3D instance segmentation is limi...

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

Preprint Sep 2026

FIRE3D: Feed-forward Interactive 3D Scene Reconstruction Within A Minute

We present FIRE3D, a unified framework that takes a single RGB image or casual RGB video and transforms it into simulation-ready 3D scene assets for games and interactive applications in under a minute. At the core of FIRE3D is a feed-forward, end-to-end network that predicts a compositional scene representation from p...

Hongchi Xia, Tianhang Cheng, Wei-Chiu Ma et al. · 2 citations