I notice that the param "max_steps" is set to 16 in RAD-NeRF, which makes sampling more rays in a batch in training feasible, while in original torch-ngp, it is way larger.
My question is that if "max_steps" is naturally smaller in the face rendering scene, or other improvements are made in the code.
Looking forward to your reply!
I notice that the param "max_steps" is set to 16 in RAD-NeRF, which makes sampling more rays in a batch in training feasible, while in original torch-ngp, it is way larger. My question is that if "max_steps" is naturally smaller in the face rendering scene, or other improvements are made in the code. Looking forward to your reply!