56 lines
1.2 KiB
HLSL
56 lines
1.2 KiB
HLSL
// Copyright (c) 2012-2022 Wojciech Figat. All rights reserved.
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#ifndef __RANDOM__
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#define __RANDOM__
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float PseudoRandom(float2 xy)
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{
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float2 p = frac(xy / 128.0f) * 128.0f + float2(-64.340622f, -72.465622f);
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return frac(dot(p.xyx * p.xyy, float3(20.390625f, 60.703125f, 2.4281209f)));
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}
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// Generic noise (1-component)
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float RandN1(float n)
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{
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return frac(sin(n) * 43758.5453123);
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}
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// Generic noise (2-components)
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float2 RandN2(float2 n)
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{
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return frac(sin(dot(n, float2(12.9898, 78.233))) * float2(43758.5453123, 28001.8384));
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}
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void FindBestAxisVectors(float3 input, out float3 axis1, out float3 axis2)
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{
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const float3 a = abs(input);
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if (a.z > a.x && a.z > a.y)
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axis1 = float3(1, 0, 0);
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else
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axis1 = float3(0, 0, 1);
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axis1 = normalize(axis1 - input * dot(axis1, input));
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axis2 = cross(axis1, input);
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}
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float PerlinRamp(in float t)
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{
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return t * t * t * (t * (t * 6 - 15) + 10);
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}
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float2 PerlinRamp(in float2 t)
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{
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return t * t * t * (t * (t * 6 - 15) + 10);
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}
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float3 PerlinRamp(in float3 t)
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{
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return t * t * t * (t * (t * 6 - 15) + 10);
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}
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float4 PerlinRamp(in float4 t)
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{
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return t * t * t * (t * (t * 6 - 15) + 10);
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}
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#endif
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