# YoYo000/MVSNet

MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

Repository: https://github.com/YoYo000/MVSNet
Canonical: https://ross.abutalabs.com/products/mvsnet
Language: Python
License: MIT
License Family: permissive
Last push: 2021-06-02T05:35:09+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2982, "days_push": 1918, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1546, forks 305 (observed 2026-08-28T04:05:01.575588+00:00)

## What it is
MVSNet is a deep learning architecture for depth map inference from unstructured multi-view images, and R-MVSNet is its recurrent extension for scalable multi-view stereo reconstruction. This repository contains the official TensorFlow implementation, training/testing scripts, preprocessed datasets, and pretrained models from the ECCV 2018 and CVPR 2019 papers.

## Use cases
- infer depth maps from multi-view image sets
- reconstruct 3D point clouds from photos
- train a multi-view stereo network on DTU or BlendedMVS
- evaluate MVS reconstruction on Tanks and Temples or ETH3D
- reproduce ECCV 2018 MVSNet paper results
- run learning-based 3D reconstruction on high-resolution images with R-MVSNet

## When to choose
- you need a well-cited, research-grade multi-view stereo depth inference model
- you want pretrained models and preprocessed benchmark datasets ready to use
- you are doing academic work on learning-based 3D reconstruction and need a baseline

## When to avoid
- you need a maintained production pipeline - the code requires Python 2.7, CUDA 9.0, and old TensorFlow
- you want a general photogrammetry tool rather than a research codebase
- you lack a GPU or cannot set up the legacy CUDA/TensorFlow environment

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning
- platform: python
- tags: multi-view-stereo, depth-estimation, 3d-reconstruction, tensorflow, research-code, point-cloud, linux, gpu

## Member repositories
- YoYo000/MVSNet (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:01.575588+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:32.965032+00:00, confidence not recorded.
  - readme: https://github.com/YoYo000/MVSNet (fetched 2026-08-28T04:05:01.575588+00:00, sha d775d6f4c95a)
- Data as of 2026-08-30T08:39:29.467469+00:00.