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== <span style="color: #FFFFFF;">Creating</span> == Building a 3D capture pipeline: # Capture: 50β100 photos orbiting the subject at multiple heights; consistent lighting; avoid reflective/transparent materials. # Pose estimation: COLMAP automatic reconstruction; verify alignment quality. # Training: use 3DGS (splatfacto in nerfstudio) for best quality-speed tradeoff; 30k iterations. # Evaluation: render held-out test views; compute PSNR/LPIPS. # Export: convert to web-compatible format (PLY for Gaussians; WebGL/glTF for meshes). # Applications: real estate virtual tours, e-commerce 3D product visualization, cultural heritage digitization, VFX asset creation. [[Category:Artificial Intelligence]] [[Category:Computer Vision]] [[Category:3D AI]] </div>
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