chunqizhang

Depth-Anything-V2

Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

Depth-Anything

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

DerivativeBasedKoopman

soft-robot-koopman

Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C. David Remy, and Ram Vasudevan.

DeepKoopmanWithControl

Soure code for Deep Koopman with Control

KoopmanMPC_for_flowcontrol

A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control

DeepKoopman

neural networks to learn Koopman eigenfunctions

autompc

Automatic Tuning for Data-driven Model Predictive Control

NeRF-Supervised-Deep-Stereo

A novel paradigm for collecting and generating stereo training data using neural rendering

BeamsNet

Data-driven approach for AUV navigation

LINGMI-MR

A geometry-aware deep network for depth estimation in monocular endoscopy

DPT

Dense Prediction Transformers

Arduino-Python3-Command-API

A Python library for communicating with Arduino microcontroller boards

servcttk

Evaluation toolkit for the SERV-CT Dataset

MonoViT

Self-supervised monocular depth estimation with a vision transformer

manydepth

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

sc_depth_pl

SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/

AdelaiDepth

This repo contains the projects: 'Virtual Normal', 'DiverseDepth', and '3D Scene Shape'. They aim to solve the monocular depth estimation, 3D scene reconstruction from single image problems.

AF-SfMLearner

[MedIA2022 & ICRA2021] Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

EndoscopyDepthEstimation-Pytorch

Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

SC-SfMLearner-Release

Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

EndoSLAM

EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner

MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

torch_base

Quickly bring up your PyTorch project(a skeleton)

FeatDepth

This is the offical codes for the methods described in the "Feature-metric Loss for Self-supervised Learning of Depth and Egomotion".

SfmLearner-Pytorch

Pytorch version of SfmLearner from Tinghui Zhou et al.

slambook

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

Depth-from-Motion

[ECCV 2022 oral] Monocular 3D Object Detection with Depth from Motion

-PyTorch-

【PyTorch】手把手教你跑通第一个神经网络