We know Biorthogonal Bases and Parseval Tight Frames allow us to break rules of basis design and still get good results. What else can bend?
-
-
Als antwoord op @fatlimey
Good questions :) Though i think of BiOB and all the PTF math as just consequence of projection minimizing L2 error rather than bending ;)
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki @fatlimey
But should we really focus on looking for basis with more locality than SH and more smoothness than Haar? I'm not convinced
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki @fatlimey
At some point it's less about just reconstruction, more about flexibility
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki @fatlimey
We can reconstruct irradiance efficiently and in practice we don't really need to *reconstruct* radiance
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki @fatlimey
I'd much rather have an efficient convolution with arbitrary kernels than just better reconstruction of generic signals
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki @fatlimey
That's the issue I have with AD - reconstruction is nice, but doing anything other than that loses the local support.
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @miwanicki
I see zonal SH as a hack when better radial bases possible, Triple Products have stalled on SH, and we forgot all about nearfield GI bounces
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @fatlimey @miwanicki
Nothing bounces itself anymore, we have settled with far irradiance as "that's GI enough for me" and stopped trying.
1 antwoord 0 retweets 0 vind-ik-leuks -
Als antwoord op @fatlimey @miwanicki
The entire miracle of PRT was to bake in bounces, not provide a lackluster occluded ambient term with directionality.
1 antwoord 0 retweets 1 vind-ik-leuk
If you want hi-freq normal variation you need spherical->spherical transfer=matrix mult. Matrix per texel/vertex is still pretty heavy ;-)
Het laden lijkt wat langer te duren.
Twitter is mogelijk overbelast of ondervindt een tijdelijke onderbreking. Probeer het opnieuw of bekijk de Twitter-status voor meer informatie.