easily overfitting with random init

[NeutrinoLiu]

Hi guys, when i run with DyNeRF dataset and google immersive dataset. I notice that if i set the init_type as random, the model quickly goes to overfitting after 5000 iters. while if using sfm as init_type, the model could converge to a good psnr. Can anyone explain the reason behind this?