hbb1/diff-surfel-rasterization

On the Filter Size

hbb1 opened this issue · 5 comments

If a filter is small enough, we are able to approximate a pixel using a point, so as to achieving high accuracy. However, if the filter is too small, gradient can not be well received. So Here is a trade-off.

Experiment setup

We assume the initial scale per-point is small enough, so the low pass filter dominate the training at the beginning.

Filter radius Visualization
$0.001$ training
$\sqrt{2}/3 * 1$ training
$\sqrt{2}/ 2$ training
$\sqrt{2}/3 * 2$ training
$\sqrt{2}/3 * 3$ training
$10$ training

I empirically set R = $\sqrt{2}/2$.

hbb1 commented

clase as completed.