Couldn't we still experience some loss of information/aliasing after projecting onto the closest point? Or is this intended to mitigate, not solve, the aliasing problem?
MrRockefeller
What's an actual situation that we need to repetitively downsample and upsample a model?
coolpotato
Are there any applications that would require downsampling and then upsampling?
spidey
if we downsample and then upsample again, why will the result be much different than the original?
Couldn't we still experience some loss of information/aliasing after projecting onto the closest point? Or is this intended to mitigate, not solve, the aliasing problem?
What's an actual situation that we need to repetitively downsample and upsample a model?
Are there any applications that would require downsampling and then upsampling?
if we downsample and then upsample again, why will the result be much different than the original?