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stereo_dense_reconstruction

Dense 3D reconstruction from stereo (using LIBELAS)

stereo_slam

stereo_sparse_depth_fusion

ICRA 2019 | Repository for "Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements" | OpenCV, C++

stereomagic

A ROS Package for Real Time Stereo Matching and Point Cloud Generation

stereomatching

Some simple Stereo Matching algorithms and confidence measures re-implemented in opencv

stereomatching-costfilter

Implementation of Fast Cost-Volume Filtering for Visual Correspondence and Beyond with Python

stereonet

StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth prediction model in pytorch. ECCV2018

stereopagnosia

PyTorch implementation of Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations (in AAAI 2021)

stereopipeline

The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.

stereoplusplus

Simple academic implementations of state-of-the-arts stereo methods

stereopostocv

post processing with least square filter based on opencv 3

stereosegmentation

An algorithm which take a stereo pair image and segment it ( using SPSStereo algo http://ttic.uchicago.edu/~dmcallester/SPS/index.html , OpenCV and PCL )

stereovision-adcensus

All in one solution for stereo vision with algorithms such as ADCensus, SGBM, BM.

stixels

GPU-accelerated real-time stixel computation

structure-from-motion

structure_knowledge_distillation

The official model zoo for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL)

structuredattentiondepthestimation

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018

sun-bcnn

Bayesian CNN Sun Detector

sun3dcppreader

sun3dsfm

SUN3Dsfm: Structure From Motion for RGB-D videos using Generalized Bundle Adjustment

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

superpixel-benchmark

An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

superpixels-revisited

Library containing 7 state-of-the-art superpixel algorithms with a total of 9 implementations used for evaluation purposes in [1] utilizing an extended version of the Berkeley Segmentation Benchmark.

superpoint_graph

Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

surface-area-regularization

This repository contains a python implementation of our method "Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo", CVPR 2015

surrounddepth

SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation

svs

Code Repo for "Single View Stereo Matching" (CVPR'18 Spotlight)

swa

Stochastic Weight Averaging in PyTorch

sweepnet

Changhee Won, Jongbin Ryu and Jongwoo Lim "SweepNet: Wide-baseline Omnidirectional Depth Estimation", in ICRA 2019