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Attention-based Context Aggregation Network for Monocular Depth Estimation
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Convolutional Neural Networks
ITSC 2019 | This is the accompanying code repository for our paper "DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion" | PyTorch, Python 3
Pytorch implementation of "Deep Ordinal Regression Network for Monocular Depth Estimation" paper by Fu et. al.
PyTorch implementation of Deep Ordinal Regression Network for Monocular Depth Estimation
An unofficial PyTorch implementation of GeoNet
Google Research
A CV project, based on cimg library to deal with simple Image Stitching task.
Models and examples built with TensorFlow
Unofficial implementation of Unsupervised Monocular Depth Estimation neural network MonoDepth in PyTorch
Monocular depth estimation from a single image
A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"
ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Reproduction of the CVPR 2020 paper - Self-supervised monocular trained depth estimation using self-attention and discrete disparity volume
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semi-supervised monocular depth map prediction
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Pytorch version of SfmLearner from Tinghui Zhou et al.
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. Ranked 1st place on KITTI. (MVA 2019 Conference)
ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)
Implementation of "Stereo and LiDAR Fusion using Stereo Matching Network with Conditional Cost Volume Normalization"
Pytorch framework for supervised depth prediction
Datasets, Transforms and Models specific to Computer Vision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.