How to turn one blurry 3D model into crystal clarity with multiple angles

Single images produce ambiguous 3D models because half the object is invisible. ROAR-3D fixes this by upgrading pretrained single-view 3D models to accept arbitrary multi-view images without explicit camera poses. A token router assigns each 3D location to its most relevant view, while dual-stream attention keeps the original model's behavior intact while funneling geometric detail from auxiliary angles. The method adds minimal training overhead and scales from 1 to 12+ views at test time.