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about training precedure cost?

Open chensjtu opened this issue 2 years ago • 4 comments

Thanks for your great work! I wonder about the time cost, iteration numbers, and device when training on DTU dataset. Would you please tell me this important information?

chensjtu avatar Mar 07 '22 02:03 chensjtu

hi, it is similar to MVSNeRF, which takes 250000 iterations, almost 8 epochs. However, after 3-4 epochs, the growth is starting to be slow. it takes me about one day, but greatly depends on your cpu/gpu. Please check the scripts in dev_scripts/ete/ folder for details

Xharlie avatar Mar 07 '22 04:03 Xharlie

Hi, I understand that the total time consumption should be 1 day for init plus 2 minutes for each scene?

yjcaimeow avatar Mar 07 '22 06:03 yjcaimeow

Thanks for your quick reply! So it takes about one day to train the init MVSNET as well as MLPs in point-nerf? After the init training, these networks can be directly used in inference and maybe later per-scene optimization?

chensjtu avatar Mar 07 '22 09:03 chensjtu

yes, however, without initial training, you can also directly do per-scene optimization from random value, but the convergence is slower.

Xharlie avatar Mar 07 '22 09:03 Xharlie