Tomatoes - No Postshot!
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4.22MB
4w ago
If you think postshot is the only way to get good gaussian splats in a convenient way you are wrong. There is an even more powerful way to get good results which is to use Reality Scan for creating poses first, exporting as colmap and training the gaussian splat with Brush. Comment on this if you need any additional information :)
13 Comments
Hi Simon, thank you for sharing. Where I could learn more about this method?
Great result!
Re bilagrid: Nerfstudio splatfacto has it. Here are the parameters I use: ns-train 
--data path/to/ns-process-data/output 
--output-dir output/dir 
--pipeline.model.use-bilateral-grid=True optionally, you can pass: --pipeline.model.grid-shape Which defaults to --pipeline.model.grid-shape=16 16 8
There is no bilagrid in brush. But LichtFeld Studio has bilagrid. It is just not stable enough for productive use. However, the results are already very promising!
Nice result! Sure PostShot is not the only solution, but features like ROI are really helpful. Since Brush is build on GSplat, do you know if it has bilateral grid implemented? The tomatoes are so smooth, I wouldn't wonder if so ;)
I really like your scan and alternative solution to get splats
tipatat 3w ago
amazing, looks perfect
i think I see a reflection of you on tomatoes ))
perfect tomatos
Those are tomatoes from my own garden :)
Beautiful tomatoes @simonbethke! I also agree, there’s a huge demand right now for a proper e2e processing tool in Gaussian Splatting. RealityCapture / Reality Scan is still insanely good. What really blows my mind is that even if you want a solid Gaussian splat, you still kind of need RealityCapture as a base :). Gaussian splatting actually unlocked my Tomato problem too, the typical food scanning nightmare with glossy surfaces :)
I can nearly taste them!