Tipc & tricks for good model

[smileyenot983]

Hello, everyone.
Is there any set of tips & tricks on dataset acquisition for making visually appealing(without noise, blur etc) gaussian splatting?

For example, number of images for scene size, image resolution, maybe parameters of the optimizer

[jaco001]

Sharp pictures...

[smileyenot983]

Are there any tips on how to get rid of floating noise(attached example image) and to make everything more consistent? By consistency I mean if there are gaussians belonging to chair(or any other object), then it is usual case that when looking from some angles the surface of object is not smooth.
I believe that depth supervision and more images could help. Is there anything else

[jaco001]

There are a lot of things, but most of them are related to preparing a good dataset for photogrammetry.
Colmap and GS take (literally) everything you give them, so weak images too.
If you are thinking about taking photos indoors - this is a very good tutorial.

https://radiancefields.com/gaussian-splatting-brings-art-exhibitions-online-with-yulei
https://medium.com/@heyulei/capture-images-for-gaussian-splatting-81d081bbc826

For me most important thing is sharp pictures with very deep depth of field