3ViewSense: Spatial and Mental Perspective Reasoning from Orthographic Views in Vision-Language Models
Current AI models struggle with spatial tasks because they lack a coherent 3D mental map from 2D images. 3ViewSense introduces a 'Simulate-and-Reason' framework that forces models to create structured orthographic views of scenes. By first simulating these views and then reasoning based on them, the model gains a stable spatial interface, significantly boosting accuracy on complex spatial problems across various benchmarks.