Generative multi-view spatial understanding is a measurable capability that improves when models are fine-tuned on spatial generation tasks, and this improvement transfers to other spatial reasoning benchmarks without additional training.
MindView is a benchmark with 1,500 samples testing how well AI models can generate spatially consistent views from partial observations using language guidance. The benchmark includes seven tasks split between geometry-focused (camera position/orientation) and semantics-focused (object grounding, spatial relations) challenges.