[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
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Updated
Jul 2, 2024 - Python
[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue
auto1111 extension txt-to-3d. This uses monodepth maps + bpy (blender). WIP
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
[ICCV 2019] Monocular depth estimation from a single image
[CVPR 2021] Self-supervised depth estimation from short sequences
DIODE Development Toolkit
[CVPR 2020] Estimation of the visible and hidden traversable space from a single color image
Dataset about paper <<A. Mingozzi, A. Conti, F. Aleotti, M. Poggi, S. Mattoccia, “Monitoring social distancing with single image depth estimation”, accepted on IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2022>>
Code for monocular depth prediction using semantic information
Depth Estimate GUI - Windows, Mac, Linux
A Tensorflow 2.x implementation of Monodepth2. https://arxiv.org/abs/1806.01260
Self-supervised monocular depth estimation
[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
Enforcing Temporal Consistency in Video Depth Estimation, ICCV-W 2021.
Revised MonoDepth2 for LibTorch C++ inference.
[ECCV 2020] Learning stereo from single images using monocular depth estimation networks
PyTorch implementation of Unsupervised Monocular Depth Estimation with Left-Right Consistency
[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs
Monocular depth estimation by segmentation models for NYU-depth v2 dataset. Simple PyTorch Lightning implementation.
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