Nathan Drenkow

Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective With Transformers

Stereo depth estimation relies on optimal correspondence matching between pixels on epipolar lines in the left and right images to infer depth. In this work, we revisit the problem from a sequence-to-sequence correspondence perspective to replace cost volume construction with dense pixel matching us…