Start by sorting by barrier to entry
The guide separates Gaussian Splatting onboarding into mobile capture, web cloud generation, higher-quality cloud processing, professional mesh conversion, and desktop local training. Scaniverse and Polycam Web are good first experiments; Luma AI and KIRI Engine serve users willing to wait for cloud processing and richer export paths; Postshot fits users with NVIDIA RTX hardware who want local control.
Cloud convenience still depends on export
Polycam, Luma AI, and KIRI Engine reduce setup and installation work, but production use depends on export formats, subscription limits, and post-processing support. Cloud workflows are faster for web display or sharing; archival, engine delivery, or retraining workflows should keep original imagery and master files such as PLY.
Where local training fits
Postshot keeps training on the desktop, which helps with data control, parameter iteration, and log inspection. The trade-off is hardware requirement, VRAM budget, and debugging time. Beginners should first learn how capture quality affects results through lower-barrier tools, then decide whether a local GPU workflow is worth the investment.