BA-T: An Iterative Transformer for Two-View Bundle Adjustment
BA-T proposes an iterative Transformer layer inspired by classical Bundle Adjustment (BA) to refine camera poses and 3D geometry in two-view reconstruction. It replaces deep attention stacks with a compact, structured update mechanism that propagates information iteratively, leading to superior cross-view consistency and high computational efficiency.