I'm trying to reimplement mipnerf in pytorch on LLFF. Currently, I've finished the pipeline identical to this repo. But the training converged to a lower psnr on the same validation images, e.g. 22.5 in my implementation vs 24.9 in this repo for 20w iterations . Is this phenomenon possibly caused by the natural of the optimizers in pytorch? Or maybe I missed some points in mipnerf implementation? Would you please provide some suggestions?
Hi, thanks for this remarkable work.
I'm trying to reimplement mipnerf in pytorch on LLFF. Currently, I've finished the pipeline identical to this repo. But the training converged to a lower psnr on the same validation images, e.g. 22.5 in my implementation vs 24.9 in this repo for 20w iterations . Is this phenomenon possibly caused by the natural of the optimizers in pytorch? Or maybe I missed some points in mipnerf implementation? Would you please provide some suggestions?
Thank you!