[CVPR 2021] Self-supervised depth estimation from short sequences
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Updated
Aug 9, 2023 - Python
[CVPR 2021] Self-supervised depth estimation from short sequences
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019
Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
Enforcing Temporal Consistency in Video Depth Estimation, ICCV-W 2021.
Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"
Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920
PyTorch implementation of Unsupervised Monocular Depth Estimation with Left-Right Consistency
Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.
Unsupervised Monocular Depth Estimation with Left-Right Consistency by chainer
A Tensorflow 2.x implementation of Monodepth2. https://arxiv.org/abs/1806.01260
Revised MonoDepth2 for LibTorch C++ inference.
Code for monocular depth prediction using semantic information
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