Below is a 41x41 gaussian with std deviation 7.0, the double box is a 17x17 kernel, and the kawase is a traditional 5 pass
Gaussian: 0.19ms
Double Box: 0.14ms
Kawase: 0.1ms
(at 1080p on a 4090)
Below is a 41x41 gaussian with std deviation 7.0, the double box is a 17x17 kernel, and the kawase is a traditional 5 pass
Gaussian: 0.19ms
Double Box: 0.14ms
Kawase: 0.1ms
(at 1080p on a 4090)
I got tired of how shit the options are for this in the app store
I got tired of how shit the options are for this in the app store
ill use that next time to impress my peers with big words
en.wikipedia.org/wiki/Gaussia...
ill use that next time to impress my peers with big words
en.wikipedia.org/wiki/Gaussia...
One such class of functions is called "Bump functions"
1/6
One such class of functions is called "Bump functions"
1/6
#GaussianSplatting #StealAllOfReality
#GaussianSplatting #StealAllOfReality
you just said it was polygenic. that means it is Gaussian. the more coins you are flipping the bigger the central peak.
you just said it was polygenic. that means it is Gaussian. the more coins you are flipping the bigger the central peak.
(a) we assume a Gaussian low tail;
(b) we assume a non-Gaussian high tail;
(c) we assume correlated SNPs w/ no large effect;
(d) we assume selection for being dumb when we don't find mean reversion;
(e) we invoke pleiotropy when this sounds crazy.
(a) we assume a Gaussian low tail;
(b) we assume a non-Gaussian high tail;
(c) we assume correlated SNPs w/ no large effect;
(d) we assume selection for being dumb when we don't find mean reversion;
(e) we invoke pleiotropy when this sounds crazy.