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very slow training speed using scannet++ dataset #15

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ZiyangYan opened this issue Jul 8, 2024 · 1 comment
Open

very slow training speed using scannet++ dataset #15

ZiyangYan opened this issue Jul 8, 2024 · 1 comment

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@ZiyangYan
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Hi, I apply igs2gs using a scannet++ dataset but the training speed is very slow (GPU: 40G A40).
The checkpoint I used is from splatfacto with 30K iteration.
image

@cvachha
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cvachha commented Jul 23, 2024

Hi, I'm thinking this is running slow due to Instruct-Pix2Pix. Instruct-GS2GS applies Instruct-Pix2Pix on every image in the training set (for the first [num of images] iterations) which ideally should have an image resolution of 512x512 or less (larger images run slower). Instruct-GS2GS will train the splat for 2.5k iterations after editing each input image.

If the image resolution is large, you can downscale it by adding nerfstudio-data --downscale-factor {2,4,6,8} to the end of your ns-train commands.

Let me know if this helps with the speed.

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