blender/intern/cycles/kernel/svm/svm_blackbody.h
Brecht Van Lommel 8fbd71e5f2 Cycles: improved Beckmann sampling using precomputed data
It turns out that the new Beckmann sampling function doesn't work well with
Quasi Monte Carlo sampling, mainly near normal incidence where it can be worse
than the previous sampler. In the new sampler the random number pattern gets
split in two, warped and overlapped, which hurts the stratification, see the
visualization in the differential revision.

Now we use a precomputed table, which is much better behaved. GGX does not seem
to benefit from using a precomputed table.

Disadvantage is that this table adds 1MB of memory usage and 0.03s startup time
to every render (on my quad core CPU).

Differential Revision: https://developer.blender.org/D614
2014-06-21 22:31:44 +02:00

85 lines
3.4 KiB
C

/*
* Adapted from Open Shading Language with this license:
*
* Copyright (c) 2009-2010 Sony Pictures Imageworks Inc., et al.
* All Rights Reserved.
*
* Modifications Copyright 2013, Blender Foundation.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are
* met:
* * Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* * Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution.
* * Neither the name of Sony Pictures Imageworks nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
CCL_NAMESPACE_BEGIN
/* Blackbody Node */
ccl_device void svm_node_blackbody(KernelGlobals *kg, ShaderData *sd, float *stack, uint temperature_offset, uint col_offset)
{
/* Output */
float3 color_rgb = make_float3(0.0f, 0.0f, 0.0f);
/* Input */
float temperature = stack_load_float(stack, temperature_offset);
if (temperature < BB_DRAPPER) {
/* just return very very dim red */
color_rgb = make_float3(1.0e-6f,0.0f,0.0f);
}
else if (temperature <= BB_MAX_TABLE_RANGE) {
/* This is the overall size of the table */
const int lookuptablesize = 956;
const float lookuptablenormalize = 1.0f/956.0f;
/* reconstruct a proper index for the table lookup, compared to OSL we don't look up two colors
just one (the OSL-lerp is also automatically done for us by "lookup_table_read") */
float t = powf((temperature - BB_DRAPPER) * (1.0f / BB_TABLE_SPACING), (1.0f / BB_TABLE_XPOWER));
int blackbody_table_offset = kernel_data.tables.blackbody_offset;
/* Retrieve colors from the lookup table */
float lutval = t*lookuptablenormalize;
float R = lookup_table_read(kg, lutval, blackbody_table_offset, lookuptablesize);
lutval = (t + 319.0f*1.0f)*lookuptablenormalize;
float G = lookup_table_read(kg, lutval, blackbody_table_offset, lookuptablesize);
lutval = (t + 319.0f*2.0f)*lookuptablenormalize;
float B = lookup_table_read(kg, lutval, blackbody_table_offset, lookuptablesize);
R = powf(R, BB_TABLE_YPOWER);
G = powf(G, BB_TABLE_YPOWER);
B = powf(B, BB_TABLE_YPOWER);
color_rgb = make_float3(R, G, B);
}
/* Luminance */
float l = linear_rgb_to_gray(color_rgb);
if (l != 0.0f)
color_rgb /= l;
if (stack_valid(col_offset))
stack_store_float3(stack, col_offset, color_rgb);
}
CCL_NAMESPACE_END