From Pixels to 3D Gaussians: An End-to-End Pipeline for Real-Time Reconstruction
This repository contains a fully integrated workflow for transforming standard digital media into photorealistic 3D environments using 3D Gaussian Splatting. Traditional 3D reconstruction methods often require specialized hardware or complex manual calibration. Our pipeline overcomes these limitations by accepting data from ubiquitous devices—ranging from standard smartphone cameras to panoramic action cameras.
Key Features:
Multi-Device Compatibility: Optimized processing templates for high-resolution smartphone footage and panoramic/equirectangular inputs (e.g., Insta360 X4).
Automated Structure-from-Motion (SfM): Seamless integration with pose estimation tools (such as COLMAP) to calculate camera trajectories and initial point clouds without manual intervention.
Efficient Training & Optimization: Leveraging state-of-the-art 3DGS algorithms to deliver dense, crisp 3D scenes within minutes.
Cross-Platform Deployment: Export options tailored for real-time web viewers, game engines (Unity/Unreal), or standalone virtual reality applications.
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