MARS (Multi Asset Reconstruction for Simulation) revolutionizes the 3D asset creation process by converting 2D images into fully-featured physics-ready 3D environments. The comprehensive pipeline integrates advanced detection, segmentation, and reconstruction, ensuring seamless export for robotics applications. Enhance simulation fidelity with ease.
MARS (Multi Asset Reconstruction for Simulation) is an innovative automated pipeline designed to transform 2D images into physics-ready 3D scene assets specifically for robotics training. This powerful toolchain offers a comprehensive solution that encompasses detection, segmentation, reconstruction, and validation processes to create high-quality 3D simulations.
The MARS pipeline executes the following stages:
Image → Detection → Segmentation → 3D Reconstruction → Physics → Validation → Export
Each stage works collaboratively to facilitate smooth transitions from raw images to detailed 3D assets ready for simulations.
Upon completion of a pipeline run, MARS delivers a detailed TUI summary that includes:
Input: A simple 2D image of a real-world setup.

Output: A physics-ready 3D scene imported into Isaac Sim.
MARS offers extensive opportunities for development with its modular architecture. The project structure is designed for maximum flexibility, allowing for immediate code editing without the need to rebuild the container. Configuration files are readily available for users to customize the behavior of various pipeline components, including detection, segmentation, and physics estimation settings.
For more detailed information on setup, usage, and customization, refer to the documentation provided within the repository. MARS paves the way for efficient and effective robotics training by delivering high-fidelity 3D assets derived from real-world imagery.
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