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@ichsan2895 ichsan2895 released this 09 Mar 05:54
· 31 commits to main since this release
ff9d741

What is different between original repo and this fork?

  1. This fork has ns-process-data splatfacto
  2. This fork uses ALL IMAGES for training instead of 0.9*All images in original Nerfstudio. But, eval images is splitted by fraction or interval. Default settings is fraction. Eval images is 0,1 of all images.

Why uses all training images?

It mimics INRIA 3DGS which uses all images for training data.

Will it be overfitting?

Yes, thats okay for me. Overfitting is not problem because we don't generate entirely new scene. But we must maximize the existing scene quality.

You can NOT compare the metrics since you have trained all images included eval images.

Yes it will be biased since eval images already leaks into training dataset. But this repo is intended for END USER which does not care about PSNR, SSIM, etc. They care only the end product.