Camera-aware transformer proposed to predict geometry across views jointly

The researchers claim feed-forward models distort geometry even when given camera poses. They say their paper, set to appear at NeurIPS, recasts multi-view stereo as a sequence-to-sequence task: a camera-aware transformer uses a unified global cost volume to predict geometry for all views jointly.