Preprint
Oct 2026
Seek-and-View Reasoning for Multi-View Spatial Understanding
Existing approaches to multi-view spatial reasoning operate largely on sparse input views. Vision-language models (VLMs) are thus restricted to understand a scene and infer spatial relations within these fixed views, leading to fragile cross-view alignment and geometry-to-language bottleneck. To address these issues, w...
Qi-Xiang Chen, Cheng Zhang, Fu-Cai Ke et al.
· 0 citations