Conservative rasterization is not guaranteed available in environments I work in.
(Maybe two SDFs, one for X distance and Y distance, multiplied together somehow, would work? Handwaving here…)
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I like
@nothings' oversampled text: https://github.com/nothings/stb/tree/master/tests/oversample … I believe it works with mipmaps (with LOD bias) so it scales well too. -
If you want to use mipmaps & lod bias you should generate the mipmaps via same algorithm, not by mipmapping existing data.
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