An autoregressive transformer that predicts depth maps in low-to-high resolution steps with recursively refined depth bins achieves state-of-the-art monocular depth accuracy on KITTI and NYU Depth v2.
LocalBins: Improving depth estimation by learning local dis- tributions
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Scalable Autoregressive Monocular Depth Estimation
An autoregressive transformer that predicts depth maps in low-to-high resolution steps with recursively refined depth bins achieves state-of-the-art monocular depth accuracy on KITTI and NYU Depth v2.