Preprint Open access
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 …