Niantic Labs

[CVPR 2021] Self-supervised depth estimation from short sequences

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[ICCV 2019] Monocular depth estimation from a single image

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[ECCV 2020] Learning stereo from single images using monocular depth estimation networks

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[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image

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[CVPR 2021] Monocular depth estimation using wavelets for efficiency

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[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

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[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

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[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions

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[CVPR 2021] Forecasting the panoptic segmentation of future video frames

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[ECCV 2020] Training neural networks to predict visual overlap of images, through interpretable non-metric box embeddings

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