const int SAMPLES_COUNT = 50; // Number of samples used to compute the average terms
// compute the average direction of the BRDF
public void ComputeAverageTerms(IBRDF _BRDF, ref float3 _tsView, float _alpha)
{
magnitude = 0.0;
fresnel = 0.0;
Z = float3.Zero;
error = 0.0;
double weight, pdf, eval;
float3 tsLight = float3.Zero;
float3 H = float3.Zero;
for (int j = 0; j < SAMPLES_COUNT; ++j)
{
for (int i = 0; i < SAMPLES_COUNT; ++i)
{
float U1 = (i + 0.5f) / SAMPLES_COUNT;
float U2 = (j + 0.5f) / SAMPLES_COUNT;
// sample
_BRDF.GetSamplingDirection(ref _tsView, _alpha, U1, U2, ref tsLight);
// eval
eval = _BRDF.Eval(ref _tsView, ref tsLight, _alpha, out pdf);
if (pdf == 0.0f)
{
continue;
}
H = (_tsView + tsLight).Normalized;
// accumulate
weight = eval / pdf;
if (double.IsNaN(weight))
{
throw new Exception("NaN!");
}
magnitude += weight;
fresnel += weight * Math.Pow(1 - Math.Max(0.0f, _tsView.Dot(H)), 5.0);
Z += (float)weight * tsLight;
}
}
magnitude /= SAMPLES_COUNT * SAMPLES_COUNT;
fresnel /= SAMPLES_COUNT * SAMPLES_COUNT;
// Finish building the average TBN orthogonal basis
Z.y = 0.0f; // clear y component, which should be zero with isotropic BRDFs
float length = Z.Length;
if (length > 0.0f)
{
Z /= length;
}
else
{
Z = float3.UnitZ;
}
X.Set(Z.z, 0, -Z.x);
Y = float3.UnitY;
}
static void RunForm(IBRDF _BRDF, FileInfo _tableFileName, bool _usePreviousRoughnessForFitting)
{
FitterForm form = new FitterForm();
form.RenderBRDF = true; // Change this to perform fitting without rendering each result (faster)
// Just enter view mode to visualize fitting
form.UsePreviousRoughness = _usePreviousRoughnessForFitting;
//form.DoFitting = false;
//form.Paused = true;
//form.ReadOnly = true;
// Debug a specific case
//form.RoughnessIndex = 19;
//form.ThetaIndex = 40;
form.UseAdaptiveFit = false;
form.SetupBRDF(_BRDF, 64, _tableFileName);
Application.Run(form);
// ApplicationContext ctxt = new ApplicationContext( form );
// ctxt.ThreadExit += ctxt_ThreadExit;
// Application.Run( ctxt );
// ctxt.Dispose();
}
public BRDFGenerator(Type targetType, int tableResolution, int sampleCount, LTCTableParametrization parametrization, string outputDir)
{
this.type = targetType;
this.brdf = (IBRDF)Activator.CreateInstance(targetType);
this.shouldGenerate = true;
this.tableResolution = tableResolution;
this.sampleCount = sampleCount;
this.outputDir = outputDir;
this.parametrization = parametrization;
}
public void Execute(int roughnessIndex)
{
// Create the fitter
NelderMead fitter = new NelderMead(3);
IBRDF brdf = LTCAreaLight.GetBRDFInterface(lightingModel);
// Compute all the missing LTCData (0 of the first line is already done)
for (int thetaIndex = 1; thetaIndex < tableResolution; thetaIndex++)
{
Fit(roughnessIndex, thetaIndex, fitter, brdf);
}
}
public void Fit(int roughnessIndex, int thetaIndex, NelderMead fitter, IBRDF brdf)
{
// Compute the roughness and cosTheta for this sample
float roughness, cosTheta;
GetRoughnessAndAngle(roughnessIndex, thetaIndex, tableResolution, parametrization, out roughness, out cosTheta);
// Compute the matching view vector
Vector3 tsView = new Vector3(Mathf.Sqrt(1 - cosTheta * cosTheta), 0, cosTheta);
// Compute BRDF's magnitude and average direction
LTCData currentLTCData;
LTCDataUtilities.Initialize(out currentLTCData);
LTCDataUtilities.ComputeAverageTerms(brdf, ref tsView, roughness, sampleCount, ref currentLTCData);
// Otherwise use average direction as Z vector
int previousLTCDataIndex = (thetaIndex - 1) * tableResolution + roughnessIndex;
LTCData previousLTC = ltcData[previousLTCDataIndex];
currentLTCData.m11 = previousLTC.m11;
currentLTCData.m22 = previousLTC.m22;
currentLTCData.m13 = previousLTC.m13;
LTCDataUtilities.Update(ref currentLTCData);
// Find best-fit LTC lobe (scale, alphax, alphay)
if (currentLTCData.magnitude > 1e-6)
{
double[] startFit = LTCDataUtilities.GetFittingParms(in currentLTCData);
double[] resultFit = new double[startFit.Length];
int localSampleCount = sampleCount;
currentLTCData.error = (float)fitter.FindFit(resultFit, startFit, (double)k_FitExploreDelta, (double)k_Tolerance, k_MaxIterations, (double[] parameters) =>
{
LTCDataUtilities.SetFittingParms(ref currentLTCData, parameters, false);
return(ComputeError(currentLTCData, brdf, localSampleCount, ref tsView, roughness));
});
currentLTCData.iterationsCount = fitter.m_lastIterationsCount;
// Update LTC with final best fitting values
LTCDataUtilities.SetFittingParms(ref currentLTCData, resultFit, false);
}
// Store new valid result
int currentLTCDataIndex = thetaIndex * tableResolution + roughnessIndex;
ltcData[currentLTCDataIndex] = currentLTCData;
}
// Compute the error between the BRDF and the LTC using Multiple Importance Sampling
static float ComputeError(LTCData ltcData, IBRDF brdf, int sampleCount, ref Vector3 _tsView, float _alpha)
{
Vector3 tsLight = Vector3.zero;
double pdf_BRDF, eval_BRDF;
double pdf_LTC, eval_LTC;
float sumError = 0.0f;
for (int j = 0; j < sampleCount; ++j)
{
for (int i = 0; i < sampleCount; ++i)
{
float U1 = (i + 0.5f) / sampleCount;
float U2 = (j + 0.5f) / sampleCount;
// importance sample LTC
{
// sample
LTCDataUtilities.GetSamplingDirection(ltcData, U1, U2, ref tsLight);
eval_BRDF = brdf.Eval(ref _tsView, ref tsLight, _alpha, out pdf_BRDF);
eval_LTC = (float)LTCDataUtilities.Eval(ltcData, ref tsLight);
pdf_LTC = eval_LTC / ltcData.magnitude;
// error with MIS weight
float error = Mathf.Abs((float)(eval_BRDF - eval_LTC));
error = error * error * error; // Use L3 norm to favor large values over smaller ones
if (error != 0.0f)
{
error /= (float)pdf_LTC + (float)pdf_BRDF;
}
if (double.IsNaN(error))
{
// SHOULD NEVER HAPPEN
}
sumError += error;
}
// importance sample BRDF
{
// sample
brdf.GetSamplingDirection(ref _tsView, _alpha, U1, U2, ref tsLight);
// error with MIS weight
eval_BRDF = brdf.Eval(ref _tsView, ref tsLight, _alpha, out pdf_BRDF);
eval_LTC = LTCDataUtilities.Eval(ltcData, ref tsLight);
pdf_LTC = eval_LTC / ltcData.magnitude;
float error = Mathf.Abs((float)(eval_BRDF - eval_LTC));
error = error * error * error; // Use L3 norm to favor large values over smaller ones
if (error != 0.0f)
{
error /= (float)pdf_LTC + (float)pdf_BRDF;
}
if (double.IsNaN(error))
{
// SHOULD NEVER HAPPEN
}
sumError += error;
}
}
}
return(sumError / ((float)sampleCount * sampleCount));
}
public SphereShape(float radius, IBRDF brdf, ITexture texture)
{
this._radius = radius;
this.BRDF = brdf;
this.Texture = texture;
}
public PlaneShape(IBRDF brdf, ITexture texture)
{
this.BRDF = brdf;
this.Texture = texture;
this.SetupCorners();
}
