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3D Reconstruction and Generation Models

Dive into advanced techniques for 3D reconstruction and asset generation using open-source feed-forward models, covering single/multi-view inputs, Gaussian splatting, and physically-based rendering for simulation-ready assets.

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Optimization and Best Practices

  • Hardware Acceleration: Use CUDA for inference; quantize models (INT8) for edge devices.
  • Evaluation: Metrics like PSNR for views, Chamfer Distance for geometry.
  • Fine-Tuning: LoRA on domain-specific data (e.g., medical scans).
  • Integration: Export to Unity/Unreal via GLTF; use for AR with ARKit/ARCore.
  • Ethical Notes: Ensure generated assets respect copyrights; watermark outputs.

Scalability:

  • Batch process scenes.
  • Distributed training for custom models.
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