Files
blender/intern/cycles/kernel/closure/bssrdf.h
Andrii Symkin d832d993c5 Cycles: add new Spectrum and PackedSpectrum types
These replace float3 and packed_float3 in various places in the kernel where a
spectral color representation will be used in the future. That representation
will require more than 3 channels and conversion to from/RGB. The kernel code
was refactored to remove the assumption that Spectrum and RGB colors are the
same thing.

There are no functional changes, Spectrum is still a float3 and the conversion
functions are no-ops.

Differential Revision: https://developer.blender.org/D15535
2022-08-09 16:49:34 +02:00

358 lines
10 KiB
C++

/* SPDX-License-Identifier: Apache-2.0
* Copyright 2011-2022 Blender Foundation */
#pragma once
CCL_NAMESPACE_BEGIN
typedef struct Bssrdf {
SHADER_CLOSURE_BASE;
Spectrum radius;
Spectrum albedo;
float roughness;
float anisotropy;
} Bssrdf;
static_assert(sizeof(ShaderClosure) >= sizeof(Bssrdf), "Bssrdf is too large!");
/* Random Walk BSSRDF */
ccl_device float bssrdf_dipole_compute_Rd(float alpha_prime, float fourthirdA)
{
float s = sqrtf(3.0f * (1.0f - alpha_prime));
return 0.5f * alpha_prime * (1.0f + expf(-fourthirdA * s)) * expf(-s);
}
ccl_device float bssrdf_dipole_compute_alpha_prime(float rd, float fourthirdA)
{
/* Little Newton solver. */
if (rd < 1e-4f) {
return 0.0f;
}
if (rd >= 0.995f) {
return 0.999999f;
}
float x0 = 0.0f;
float x1 = 1.0f;
float xmid, fmid;
constexpr const int max_num_iterations = 12;
for (int i = 0; i < max_num_iterations; ++i) {
xmid = 0.5f * (x0 + x1);
fmid = bssrdf_dipole_compute_Rd(xmid, fourthirdA);
if (fmid < rd) {
x0 = xmid;
}
else {
x1 = xmid;
}
}
return xmid;
}
ccl_device void bssrdf_setup_radius(ccl_private Bssrdf *bssrdf,
const ClosureType type,
const float eta)
{
if (type == CLOSURE_BSSRDF_BURLEY_ID || type == CLOSURE_BSSRDF_RANDOM_WALK_FIXED_RADIUS_ID) {
/* Scale mean free path length so it gives similar looking result to older
* Cubic, Gaussian and Burley models. */
bssrdf->radius *= 0.25f * M_1_PI_F;
}
else {
/* Adjust radius based on IOR and albedo. */
const float inv_eta = 1.0f / eta;
const float F_dr = inv_eta * (-1.440f * inv_eta + 0.710f) + 0.668f + 0.0636f * eta;
const float fourthirdA = (4.0f / 3.0f) * (1.0f + F_dr) /
(1.0f - F_dr); /* From Jensen's `Fdr` ratio formula. */
Spectrum alpha_prime;
FOREACH_SPECTRUM_CHANNEL (i) {
GET_SPECTRUM_CHANNEL(alpha_prime, i) = bssrdf_dipole_compute_alpha_prime(
GET_SPECTRUM_CHANNEL(bssrdf->albedo, i), fourthirdA);
}
bssrdf->radius *= sqrt(3.0f * (one_spectrum() - alpha_prime));
}
}
/* Christensen-Burley BSSRDF.
*
* Approximate Reflectance Profiles from
* http://graphics.pixar.com/library/ApproxBSSRDF/paper.pdf
*/
/* This is a bit arbitrary, just need big enough radius so it matches
* the mean free length, but still not too big so sampling is still
* effective. */
#define BURLEY_TRUNCATE 16.0f
#define BURLEY_TRUNCATE_CDF 0.9963790093708328f // cdf(BURLEY_TRUNCATE)
ccl_device_inline float bssrdf_burley_fitting(float A)
{
/* Diffuse surface transmission, equation (6). */
return 1.9f - A + 3.5f * (A - 0.8f) * (A - 0.8f);
}
/* Scale mean free path length so it gives similar looking result
* to Cubic and Gaussian models. */
ccl_device_inline Spectrum bssrdf_burley_compatible_mfp(Spectrum r)
{
return 0.25f * M_1_PI_F * r;
}
ccl_device void bssrdf_burley_setup(ccl_private Bssrdf *bssrdf)
{
/* Mean free path length. */
const Spectrum l = bssrdf_burley_compatible_mfp(bssrdf->radius);
/* Surface albedo. */
const Spectrum A = bssrdf->albedo;
Spectrum s;
FOREACH_SPECTRUM_CHANNEL (i) {
GET_SPECTRUM_CHANNEL(s, i) = bssrdf_burley_fitting(GET_SPECTRUM_CHANNEL(A, i));
}
bssrdf->radius = l / s;
}
ccl_device float bssrdf_burley_eval(const float d, float r)
{
const float Rm = BURLEY_TRUNCATE * d;
if (r >= Rm)
return 0.0f;
/* Burley reflectance profile, equation (3).
*
* NOTES:
* - Surface albedo is already included into `sc->weight`, no need to
* multiply by this term here.
* - This is normalized diffuse model, so the equation is multiplied
* by `2*pi`, which also matches `cdf()`.
*/
float exp_r_3_d = expf(-r / (3.0f * d));
float exp_r_d = exp_r_3_d * exp_r_3_d * exp_r_3_d;
return (exp_r_d + exp_r_3_d) / (4.0f * d);
}
ccl_device float bssrdf_burley_pdf(const float d, float r)
{
if (r == 0.0f) {
return 0.0f;
}
return bssrdf_burley_eval(d, r) * (1.0f / BURLEY_TRUNCATE_CDF);
}
/* Find the radius for desired CDF value.
* Returns scaled radius, meaning the result is to be scaled up by d.
* Since there's no closed form solution we do Newton-Raphson method to find it.
*/
ccl_device_forceinline float bssrdf_burley_root_find(float xi)
{
const float tolerance = 1e-6f;
const int max_iteration_count = 10;
/* Do initial guess based on manual curve fitting, this allows us to reduce
* number of iterations to maximum 4 across the [0..1] range. We keep maximum
* number of iteration higher just to be sure we didn't miss root in some
* corner case.
*/
float r;
if (xi <= 0.9f) {
r = expf(xi * xi * 2.4f) - 1.0f;
}
else {
/* TODO(sergey): Some nicer curve fit is possible here. */
r = 15.0f;
}
/* Solve against scaled radius. */
for (int i = 0; i < max_iteration_count; i++) {
float exp_r_3 = expf(-r / 3.0f);
float exp_r = exp_r_3 * exp_r_3 * exp_r_3;
float f = 1.0f - 0.25f * exp_r - 0.75f * exp_r_3 - xi;
float f_ = 0.25f * exp_r + 0.25f * exp_r_3;
if (fabsf(f) < tolerance || f_ == 0.0f) {
break;
}
r = r - f / f_;
if (r < 0.0f) {
r = 0.0f;
}
}
return r;
}
ccl_device void bssrdf_burley_sample(const float d,
float xi,
ccl_private float *r,
ccl_private float *h)
{
const float Rm = BURLEY_TRUNCATE * d;
const float r_ = bssrdf_burley_root_find(xi * BURLEY_TRUNCATE_CDF) * d;
*r = r_;
/* h^2 + r^2 = Rm^2 */
*h = safe_sqrtf(Rm * Rm - r_ * r_);
}
ccl_device float bssrdf_num_channels(const Spectrum radius)
{
float channels = 0;
FOREACH_SPECTRUM_CHANNEL (i) {
if (GET_SPECTRUM_CHANNEL(radius, i) > 0.0f) {
channels += 1.0f;
}
}
return channels;
}
ccl_device void bssrdf_sample(const Spectrum radius,
float xi,
ccl_private float *r,
ccl_private float *h)
{
const float num_channels = bssrdf_num_channels(radius);
float sampled_radius;
/* Sample color channel and reuse random number. Only a subset of channels
* may be used if their radius was too small to handle as BSSRDF. */
xi *= num_channels;
sampled_radius = 0.0f;
float sum = 0.0f;
FOREACH_SPECTRUM_CHANNEL (i) {
const float channel_radius = GET_SPECTRUM_CHANNEL(radius, i);
if (channel_radius > 0.0f) {
const float next_sum = sum + 1.0f;
if (xi < next_sum) {
xi -= sum;
sampled_radius = channel_radius;
break;
}
sum = next_sum;
}
}
/* Sample BSSRDF. */
bssrdf_burley_sample(sampled_radius, xi, r, h);
}
ccl_device_forceinline Spectrum bssrdf_eval(const Spectrum radius, float r)
{
Spectrum result;
FOREACH_SPECTRUM_CHANNEL (i) {
GET_SPECTRUM_CHANNEL(result, i) = bssrdf_burley_pdf(GET_SPECTRUM_CHANNEL(radius, i), r);
}
return result;
}
ccl_device_forceinline float bssrdf_pdf(const Spectrum radius, float r)
{
Spectrum pdf = bssrdf_eval(radius, r);
return reduce_add(pdf) / bssrdf_num_channels(radius);
}
/* Setup */
ccl_device_inline ccl_private Bssrdf *bssrdf_alloc(ccl_private ShaderData *sd,
Spectrum weight)
{
ccl_private Bssrdf *bssrdf = (ccl_private Bssrdf *)closure_alloc(
sd, sizeof(Bssrdf), CLOSURE_NONE_ID, weight);
if (bssrdf == NULL) {
return NULL;
}
float sample_weight = fabsf(average(weight));
bssrdf->sample_weight = sample_weight;
return (sample_weight >= CLOSURE_WEIGHT_CUTOFF) ? bssrdf : NULL;
}
ccl_device int bssrdf_setup(ccl_private ShaderData *sd,
ccl_private Bssrdf *bssrdf,
ClosureType type,
const float ior)
{
int flag = 0;
/* Add retro-reflection component as separate diffuse BSDF. */
if (bssrdf->roughness != FLT_MAX) {
ccl_private PrincipledDiffuseBsdf *bsdf = (ccl_private PrincipledDiffuseBsdf *)bsdf_alloc(
sd, sizeof(PrincipledDiffuseBsdf), bssrdf->weight);
if (bsdf) {
bsdf->N = bssrdf->N;
bsdf->roughness = bssrdf->roughness;
flag |= bsdf_principled_diffuse_setup(bsdf, PRINCIPLED_DIFFUSE_RETRO_REFLECTION);
/* Ad-hoc weight adjustment to avoid retro-reflection taking away half the
* samples from BSSRDF. */
bsdf->sample_weight *= bsdf_principled_diffuse_retro_reflection_sample_weight(bsdf, sd->I);
}
}
/* Verify if the radii are large enough to sample without precision issues. */
int bssrdf_channels = SPECTRUM_CHANNELS;
Spectrum diffuse_weight = zero_spectrum();
FOREACH_SPECTRUM_CHANNEL (i) {
if (GET_SPECTRUM_CHANNEL(bssrdf->radius, i) < BSSRDF_MIN_RADIUS) {
GET_SPECTRUM_CHANNEL(diffuse_weight, i) = GET_SPECTRUM_CHANNEL(bssrdf->weight, i);
GET_SPECTRUM_CHANNEL(bssrdf->weight, i) = 0.0f;
GET_SPECTRUM_CHANNEL(bssrdf->radius, i) = 0.0f;
bssrdf_channels--;
}
}
if (bssrdf_channels < SPECTRUM_CHANNELS) {
/* Add diffuse BSDF if any radius too small. */
#ifdef __PRINCIPLED__
if (bssrdf->roughness != FLT_MAX) {
ccl_private PrincipledDiffuseBsdf *bsdf = (ccl_private PrincipledDiffuseBsdf *)bsdf_alloc(
sd, sizeof(PrincipledDiffuseBsdf), diffuse_weight);
if (bsdf) {
bsdf->N = bssrdf->N;
bsdf->roughness = bssrdf->roughness;
flag |= bsdf_principled_diffuse_setup(bsdf, PRINCIPLED_DIFFUSE_LAMBERT);
}
}
else
#endif /* __PRINCIPLED__ */
{
ccl_private DiffuseBsdf *bsdf = (ccl_private DiffuseBsdf *)bsdf_alloc(
sd, sizeof(DiffuseBsdf), diffuse_weight);
if (bsdf) {
bsdf->N = bssrdf->N;
flag |= bsdf_diffuse_setup(bsdf);
}
}
}
/* Setup BSSRDF if radius is large enough. */
if (bssrdf_channels > 0) {
bssrdf->type = type;
bssrdf->sample_weight = fabsf(average(bssrdf->weight)) * bssrdf_channels;
bssrdf_setup_radius(bssrdf, type, ior);
flag |= SD_BSSRDF;
}
else {
bssrdf->type = type;
bssrdf->sample_weight = 0.0f;
}
return flag;
}
CCL_NAMESPACE_END