MLOps 3D Scene Reconstruction

Model Pipeline Overview

MLOps 3D Scene Reconstruction is a production-grade AI system that recovers the 3D structure of real-world environments from a collection of multi-view images. Given a set of photos captured from different angles, the system estimates each camera’s rotation matrix R and translation vector t with high accuracy, and renders an interactive 3D point cloud.

The system is built on top of state-of-the-art foundation models (MASt3R, DUSt3R), orchestrated through a full MLOps stack comprising DVC, MLflow, Airflow, Prometheus, Grafana, and Docker.

Model Pipeline Overview

The end-to-end pipeline transforms a ZIP archive of images into a navigable 3D point cloud:

┌─────────────┐    ┌──────────────┐    ┌────────────┐    ┌──────────────┐    ┌──────────┐
│  Image ZIP  │ →  │ Preprocessing│ →  │  Matching  │ →  │ Triangulation│ →  │ 3D Model │
│  (Upload)   │    │  + Filtering │    │  (MASt3R)  │    │  (COLMAP)    │    │  (.ply)  │
└─────────────┘    └──────────────┘    └────────────┘    └──────────────┘    └──────────┘

Each stage is tracked via MLflow, versioned with DVC, and monitored with Prometheus.

Downstream Applications

  • Augmented and Virtual Reality (AR/VR)

  • Robotics and Autonomous Driving

  • Cultural Heritage Digitization

  • Surveying and Topography

Documentation

Getting Started

User Interface

System Reference

MLOps & Operations

Project Context