You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Oh thanks for pointing it out Lukas! I didn't notice this clarification so thought it was using trainval split.
So I did a quick test on Chair, using train test gives me 35.17db, comparing to 36.13db on trainval set. For reference NGP paper reports 35.00db for this scene. (5mins)
Still, the NGP paper uses random bkgd argumentation I think (at least that is by default enabled in their code base). And I believe that would give some boost to the performance.
Hi we did a full test in #68. Turns out under the fair comparison setting, both the performance and runtime are nearly the same. Sorry for the confusing!
Hi,
thanks for the awesome project!
according to kwea123/ngp_pl#1 and NVlabs/instant-ngp#745 only the train-split was used in Instant-NGP's results.
Do you also have the numbers for only using the train split? :)
The text was updated successfully, but these errors were encountered: