SMAA is a very efficient GPU-based MLAA implementation (DX9, DX10, DX11 and OpenGL), capable of handling subpixel features seamlessly, and featuring an improved and advanced pattern detection & handling mechanism. The technique focuses on handling each pattern in a very specific way (via look-up-tables), in order to minimize false positives in the pattern detection. Ultimately, this prevents antialiasing features that are not produced by jaggies, like texture details. Furthermore, this conservative morphological approach, together with correct subsample area estimation, allows to accurately combine MLAA with multi/supersampling techniques. Finally, the technique has been specifically designed to clone (to a reasonable extent) multisampling reference results.