Guidance for Open Source 3D Reconstruction Toolbox for Gaussian Splats on AWS
Overview
This Guidance demonstrates how to create high-quality 3D content from real-world objects and environments. It shows how to address common challenges, such as the need for specialized 3D modeling expertise, expensive equipment, and time-consuming manual processes for creating photorealistic 3D assets. The Guidance helps streamline the complex technical infrastructure required for 3D reconstruction and illustrates methods to improve scalability for processing large volumes of 3D assets. It also shows how to enhance the real-time performance of reconstructed 3D models in various applications. By following this Guidance, you can leverage the benefits of 3D content in areas like e-commerce, digital twins, virtual production, and immersive experiences, without being hindered by traditional obstacles.
Benefits
Enable real-time digital experiences
Create photorealistic 3D models using Gaussian splats. Power responsive e-commerce displays, digital twins, and virtual production applications.
Reduce 3D production barriers
Turn entire product catalogs or real-world environments into interactive 3D experiences. Eliminate the need for specialized equipment and technical expertise.
Scale digital asset creation effectively
Process thousands of 3D reconstructions simultaneously with event-driven, auto-scaling GPU infrastructure. Build a modular pipeline that automatically handles multiple steps from media processing to model generation.
How it works
Event-driven serverless architecture
This architecture diagram shows an automated deployment of event-driven serverless architecture for user accounts.
AI-generated open source 3D content
This architecture diagram shows how to enable the generation of realistic 3D content through open source rendering techniques.
Deploy with confidence
Everything you need to launch this Guidance in your account is right here
We'll walk you through it
Dive deep into the implementation guide for additional customization options and service configurations to tailor to your specific needs.
Let's make it happen
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.
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