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banet

Source Code for the Paper BA-Net: Dense Bundle Adjustment Network

bundler

Structure from Motion (SfM) for Unordered Image Collections

cmvs-pmvs

This software (CMVS) takes the output of a structure-from-motion (SfM) software as input, then decomposes the input images into a set of image clusters of managable size. An MVS software can be used to process each cluster independently and in parallel, where the union of reconstructions from all the clusters should not miss any details that can be otherwise obtained from the whole image set. CMVS should be used in conjunction with an SfM software Bundler and an MVS software PMVS2 (PMVS version 2).

deepmvs

DeepMVS: Learning Multi-View Stereopsis

demon

DeMoN: Depth and Motion Network

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

glcmatch

gms-feature-matcher

GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)

hfut_autosubmit

合肥工业大学今日校园疫情信息收集自动打卡签到Action

hpatches-benchmark

Python & Matlab code for local feature descriptor evaluation with the HPatches dataset.

image-matching-benchmark

Evaluation code for "Image Matching: An Application-oriented Benchmark"

lkvolearner

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

local-feature-evaluation

Comparative Evaluation of Hand-Crafted and Learned Local Features

mvdepthnet

This repository provides PyTorch implementation for 3DV 2018 paper "MVDepthNet: real-time multiview depth estimation neural network"

oiio

OpenImageIO

openexr

OpenEXR is a high dynamic-range (HDR) image file format developed by Industrial Light & Magic for use in computer imaging applications

poissonrecon

Poisson Surface Reconstruction

reconstructiondataset

Set of images for doing 3d reconstruction

robust_feature_matching

Basic demo of Vector Field Consensus method for image keypoint matching

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

uanet

xrsfm

OpenXRLab Structure-from-Motion Toolbox and Benchmark