PointRenderShader

[Librarian]

I like this

https://www.behance.net/gallery/33839482/Point-Render

How to achieve this shader Brush effect?

[Librarian]

Here on the forum, you can find everything 

just to learn to combine /close.

td_cross_2.hipnc   (file from 2004)

reading from points attribute Qfields FUN

#define PI          3.1415926535897931
#pragma label       Theta       "Maximum Theta"
#pragma label       spread      "Overall Spread"
#pragma label       DATA        "Data Points"
#pragma label       kd          "Diffuse"
#pragma label       ks          "Specular"
#pragma label       bump        "Bump"

surface
qrotation_field
(   float   Theta   = 2.0,
            spread  = 3,
            kd      = 1,
            ks      = 0.5,
            bump    = 0.1;
    string  DATA    = "$HIP/../VEX/Reading-Data-Points/_datapoints.bgeo.sc")
{
    float d, Np, theta, pFratt, factor, pspread;
    vector _P, pP, axis, pVratt;
    vector4 Q;
    string group;
    
    _P = ptransform("space:camera", "space:world", P);

    theta = snoise(_P + 0.9, 1, 0.75, 1)*4.5;
    axis = snoise(_P + 0.05, 1, 0.05, 1);
    Q = quaternion(theta, axis);
    _P = qrotate(Q, _P);
    
    for(int g = 0; g < 2; g++){
        group = concat("group", itoa(g));
        int p[] = expandpointgroup(DATA, group);
        Np = len(p);
        factor = g + 1;
        for (int i = 0; i < Np; i++){
            pP = point(DATA, "P", p[i]);
            axis = point(DATA, "N", p[i]);
            pFratt = point(DATA, "fratt", p[i]);
            pVratt = point(DATA, "vratt", p[i]);
            pspread = pFratt*spread/factor;
            d = distance2(pP, _P);
            d = exp(-d*d/pspread);
            theta = 2*PI*(pFratt*2 - 1)*d*Theta/factor;
            Q = quaternion(theta, axis);
            _P = qrotate(Q, _P - pP) + pP;
        }
    }

    vector outColor = snoise(_P*0.25, 1, 0.25, 1);

    vector Nn = normalize(computenormal(P + min(outColor)*bump, N, Ng));
    
    vector diff = diffuse(Nn)*outColor*dot(normalize(-I), N);

    vector spec = specular(Nn, normalize(-I), fit01(min(outColor), 0.5, 0.1))*0.1;
    spec += specular(N, normalize(-I), 0.05);

    Cf = diff*kd + spec*ks;
}

 

[jimeng20]

Interesting topic, thanks for sharing!