u/Lucky-Living-2812

I tested the same industrial site with two different drone capture approaches. There's 4 stages in this comparison.

-The first reconstruction uses only Mavic 4 Pro images. It gives better overall site coverage, especially from above, but the building itself lacks close-range detail (≈1H flight time).

-The second one uses only Avata 360 images. The building has more local detail, but the surrounding area is much weaker because the flight was shorter and closer (13min flight time).

-The third version combines both drone datasets, which gave the best raw result.

-The final version uses the same combined dataset, but with longer training and cleanup to remove floaters.

The capture light wasn't stable, sunny/cloudy changes.

This is just a practical 3DGS workflow comparison for visual documentation.

DJI Mavic 4 Pro vs. DJI Avata 360: Testing environment CAPTURE COVERAGE with a quick scan flight (not a quality comparison) for Gaussian Splatting.

I scanned the same location on different days to compare a standard gimbal drone against a 360 drone.

Try it yourself. The results side-by-side:

https://splitview.studio/demo/M4PROVSA360/

Tools used: Postshot, Splat Aligner, TimeSplat 4D.

Hey! I recently released a 100% browser-based utility to solve a workflow issue: aligning overlapping 3DGS scans (like different stages of a construction site or drone flight).

You can visually align separate models using a fast 3-point system, merge them, and switch between stages using a timeline. No heavy installations or cloud uploads—it processes locally.

There is a free demo on the site with sample models so you can try the workflow directly.

Let me know what you think!

https://splitview.studio