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
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
We present FIRE3D, a unified framework that transforms a single RGB image or casual video into interactable 3D scene assets for games and interactive applications in under a minute for up to twelve textured instances including preprocessing. At the core of FIRE3D is a feed-forward inference pipeline that predicts a com...
Hongchi Xia, Tianhang Cheng, Wei-Chiu Ma et al.· 4 citations· ⚡1
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