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From the outset, we knew we wanted something that subverted any conventional agency website formulas. Instead,
inspired by the unseen energy that drives creativity, connection and transformation, we arrived at the idea of
invisible forces
. Could we take the powerful yet intangible elements that shape our world—motion, emotion, intuition, and
inspiration—and manifest them in a digital space?

We were excited about creating something that included many custom interactions and a very experiential feel. However,
our concern was picking a set of tools that would allow most of our developers to contribute to and maintain the site
after launch.

We chose to start from a Next / React base, as we often do at Phantom. React also has the advantage of being
compatible with the excellent React Three Fiber library, which we used to seamlessly bridge the gap between our DOM
components and the WebGL contexts used across the site. For styles, we are using our very own
CSS components
as well as SASS.

For interactive behaviours and animation, we chose to use GSAP for two main reasons. Firstly, it contains a lot of
plugins we know and love, such as SplitText, CustomEase and ScrollTrigger. Secondly, GSAP allows us to use a single
animation framework across DOM and WebGL components.

We could go on and on talking about the details behind every single animation and micro-interaction on the site, but
for this piece we have chosen to focus our attention on two of the most unique components of our site: the homepage
grid and the scrollable employee face particle carousel.

The Homepage Grid

It took us a very long time to get this view to perform and feel just how we wanted it to. In this article, we will focus on the interactive part. For more info on how we made things performant, head to our previous article: Welcome back to Phantomland

Grid View

The project’s grid view is integrated into the homepage by incorporating a primitive Three.js object into a React
Three Fiber scene.

//GridView.tsx
const GridView = () => {
  return (
    <Canvas>
      ...
      <ProjectsGrid />
      <Postprocessing />
    </Canvas>
  );
}

//ProjectsGrid.tsx
const ProjectsGrid = ({atlases, tiles}: Props) => {
  const {canvas, camera} = useThree();
  
  const grid = useMemo(() => {
    return new Grid(canvas, camera, atlases, tiles);
  }, [canvas, camera, atlases, tiles]);

  if(!grid) return null;
  return (
    <primitive object={grid} />
  );
}

We initially wanted to write all the code for the grid using React Three Fiber but realised that, due to the
complexity of our grid component, a vanilla
Three.js
class would be easier to maintain.

One of the key elements that gives our grid its iconic feel is our post-processing distortion effect. We implemented
this feature by creating a custom shader pass within our post-processing pipeline:

// Postprocessing.tsx
const Postprocessing = () => {
  const {gl, scene, camera} = useThree();
  
  // Create Effect composer
  const {effectComposer, distortionShader} = useMemo(() => {
    const renderPass = new RenderPass(scene, camera);
    const distortionShader = new DistortionShader();
    const distortionPass = new ShaderPass(distortionShader);
    const outputPass = new OutputPass();

    const effectComposer = new EffectComposer(gl);
    effectComposer.addPass(renderPass);
    effectComposer.addPass(distortionPass);
    effectComposer.addPass(outputPass);

    return {effectComposer, distortionShader};
  }, []);
  
  // Update distortion intensity
  useEffect(() => {
    if (workgridState === WorkgridState.INTRO) {
      distortionShader.setDistortion(CONFIG.distortion.flat);
    } else {
      distortionShader.setDistortion(CONFIG.distortion.curved);
    }
  }, [workgridState, distortionShader]);
  
  // Update distortion intensity
  useFrame(() => {
    effectComposer.render();
  }, 1);
 
  return null;
}

When the grid transitions in and out on the site, the distortion intensity changes to make the transition feel
natural. This animation is done through a simple tween in our
DistortionShader
class:

class DistortionShader extends ShaderMaterial {
  private distortionIntensity = 0;

  super({
      name: 'DistortionShader',
      uniforms: {
        distortionIntensity: {value: new Vector2()},
        ...
      },
      vertexShader,
      fragmentShader,
  });

  update() {
    const ratio = window.innerWidth, window.innerHeight;
    this.uniforms[DistortionShaderUniforms.DISTORTION].value.set(
      this.distortionIntensity * ratio,
      this.distortionIntensity * ratio,
    );
  }

  setDistortion(value: number) {
    gsap.to(this, {
      distortionIntensity: value,
      duration: 1,
      ease: 'power2.out',
      onUpdate: () => this.update()    }
  }
}

Then the distortion is applied through our custom shader:

// fragment.ts
export const fragmentShader = /* glsl */ `
  uniform sampler2D tDiffuse;
  uniform vec2 distortion;
  uniform float vignetteOffset;
  uniform float vignetteDarkness;

  varying vec2 vUv;
  
  // convert uv range from 0 -> 1 to -1 -> 1
  vec2 getShiftedUv(vec2 uv) {
    return 2. * (uv - .5);
  }
  
  // convert uv range from -1 -> 1 to 0 -> 1
  vec2 getUnshiftedUv(vec2 shiftedUv) {
    return shiftedUv * 0.5 + 0.5;
  }


  void main() {
    vec2 shiftedUv = getShiftedUv(vUv);
    float distanceToCenter = length(shiftedUv);
    
    // Lens distortion effect
    shiftedUv *= (0.88 + distortion * dot(shiftedUv));
    vec2 transformedUv = getUnshiftedUv(shiftedUv);
    
    // Vignette effect
    float vignetteIntensity = smoothstep(0.8, vignetteOffset * 0.799,  (vignetteDarkness + vignetteOffset) * distanceToCenter);
    
    // Sample render texture and output fragment
    color = texture2D( tDiffuse, distortedUV ).rgb * vignetteIntensity;
    gl_FragColor = vec4(color, 1.);
  }

We also added a vignette effect to our post-processing shader to darken the corners of the viewport, focusing the
user’s attention toward the center of the screen.

In order to make our home view as smooth as possible, we also spent a fair amount of time crafting the
micro-interactions and transitions of the grid.

Ambient mouse offset

When the user moves their cursor around the grid, the grid moves slightly in the opposite direction, creating a very
subtle ambient floating effect. This was simply achieved by calculating the mouse position on the grid and moving the
grid mesh accordingly:

getAmbientCursorOffset() {
  // Get the pointer coordinates in UV space ( 0 - 1 ) range
  const uv = this.navigation.pointerUv;
  const offset = uv.subScalar(0.5).multiplyScalar(0.2);
  return offset;
}

update() {
  ...
  // Apply cursor offset to grid position
  const cursorOffset = getAmbientCursorOffset();
  this.mesh.position.x += cursorOffset.x;
  this.mesh.position.y += cursorOffset.y;
}

Drag Zoom

When the grid is dragged around, a zoom-out effect occurs and the camera seems to pan away from the grid. We created
this effect by detecting when the user starts and stops dragging their cursor, then using that to trigger a GSAP
animation with a custom ease for extra control.

onPressStart = () => {
  this.animateCameraZ(0.5, 1);
}

onPressEnd = (isDrag: boolean) => {
  if(isDrag) {
    this.animateCameraZ(0, 1);
  }
}

animateCameraZ(distance: number, duration: number) {
  gsap.to(this.camera.position, {
    z: distance,
    duration,
    ease: CustomEase.create('cameraZoom', '.23,1,0.32,1'),
  });
}

Drag Movement

Last but not least, when the user drags across the grid and releases their cursor, the grid slides through with a
certain amount of inertia.

drag(offset: Vector2) {
  this.dragAction = offset;

  // Gradually increase velocity with drag time and distance
  this.velocity.lerp(offset, 0.8);
}

// Every frame
update() {
  // positionOffset is later used to move the grid mesh
  if(this.isDragAction) {
    // if the user is dragging their cursor, add the drag value to offset
    this.positionOffset.add(this.dragAction.clone());
  } else {
    // if the user is not dragging, add the velocity to the offset
    this.positionOffset.add(this.velocity);
  }

  this.dragAction.set(0, 0);
  // Attenuate velocity with time
  this.velocity.lerp(new Vector2(), 0.1);
}

Face Particles

The second major component we want to highlight is our employee face carousel, which presents team members through a
dynamic 3D particle system. Built with React Three Fiber’s
BufferGeometry
and custom GLSL shaders, this implementation leverages custom shader materials for lightweight performance and
flexibility, allowing us to generate entire 3D face representations using only a 2D colour photograph and its
corresponding depth map—no 3D models required.

Core Concept: Depth-Driven Particle Generation

The foundation of our face particle system lies in converting 2D imagery into volumetric 3D representations. We’ve
kept things efficient, with each face using only two optimized 256×256 WebP images (under 15KB each).

To capture the images, each member of the Phantom team was 3D scanned using
RealityScan
from Unreal Engine on iPhone, creating a 3D model of their face.

These scans were cleaned up and then rendered from Cinema4D with a position and colour pass.

The position pass was converted into a greyscale depth map in Photoshop, and this—along with the colour pass—was
retouched where needed, cropped, and then exported from Photoshop to share with the dev team.

Each face is constructed from approximately 78,400 particles (280×280 grid), where each particle’s position and
appearance is determined by sampling data from our two source textures.

/* generate positions attributes array */
const POINT_AMOUNT = 280;

const points = useMemo(() => {
  const length = POINT_AMOUNT * POINT_AMOUNT;
  const vPositions = new Float32Array(length * 3);
  const vIndex = new Float32Array(length * 2);
  const vRandom = new Float32Array(length * 4);

  for (let i = 0; i < length; i++) {
      const i2 = i * 2;
      vIndex[i2] = (i % POINT_AMOUNT) / POINT_AMOUNT;
      vIndex[i2 + 1] = i / POINT_AMOUNT / POINT_AMOUNT;

      const i3 = i * 3;
      const theta = Math.random() * 360;
      const phi = Math.random() * 360;
      vPositions[i3] = 1 * Math.sin(theta) * Math.cos(phi);
      vPositions[i3 + 1] = 1 * Math.sin(theta) * Math.sin(phi);
      vPositions[i3 + 2] = 1 * Math.cos(theta);

      const i4 = i * 4;
      vRandom.set(
        Array(4)
          .fill(0)
          .map(() => Math.random()),
        i4,
      );
  }

  return {vPositions, vRandom, vIndex};
}, []);

// React Three Fiber component structure 
const FaceParticleSystem = ({ particlesData, currentDataIndex }) => {
  return (
    <points ref={pointsRef} position={pointsPosition}>
      <bufferGeometry>
        <bufferAttribute attach="attributes-vIndex" 
             args={[points.vIndex, 2]} />
        <bufferAttribute attach="attributes-position"
             args={[points.vPositions, 3]} />
        <bufferAttribute attach="attributes-vRandom"
             args={[points.vRandom, 4]} />
      </bufferGeometry>
      
      <shaderMaterial
        blending={NormalBlending}
        transparent={true}
        fragmentShader={faceFrag}
        vertexShader={faceVert}
        uniforms={uniforms}
      />
    </points>
  );
};

The depth map provides normalized values (0–1) that directly translate to Z-depth positioning. A value of 0 represents
the furthest point (background), while 1 represents the closest point (typically the nose tip).

/* vertex shader */ 

// sample depth and color data for each particle
vec3 depthTexture1 = texture2D(depthMap1, vIndex.xy).xyz;

// convert depth to Z-position
float zDepth = (1. - depthValue.z);
pos.z = (zDepth * 2.0 - 1.0) * zScale;

Dynamic Particle Scaling Through Colour Analysis

One of the key methods that brings our faces to life is utilizing colour data to influence particle scale. In our
vertex shader, rather than using uniform particle sizes, we analyze the colour density of each pixel so that brighter,
more colourful areas of the face (like eyes, lips, or well-lit cheeks) generate larger, more prominent particles,
while darker areas (shadows, hair) create smaller, subtler particles. The result is a more organic, lifelike
representation that emphasizes facial features naturally.

/* vertex shader */ 

vec3 colorTexture1 = texture2D(colorMap1, vIndex.xy).xyz;

// calculate color density
float density = (mainColorTexture.x + mainColorTexture.y + mainColorTexture.z) / 3.;

// map density to particle scale
float pScale = mix(pScaleMin, pScaleMax, density);

The calibration below demonstrates the influence of colour (contrast, brightness, etc.) on the final 3D particle formation.

Ambient Noise Animation

To prevent static appearances and maintain visual interest, we apply continuous noise-based animation to all
particles. This ambient animation system uses curl noise to create subtle, flowing movement across the entire
face structure.

/* vertex shader */ 

// primary curl noise for overall movement 
pos += curlNoise(pos * curlFreq1 + time) * noiseScale * 0.1;

// animation updates in React Three Fiber

useFrame((state, delta) => {
  if (!materialRef.current) return;
  
  materialRef.current.uniforms.time.value = state.clock.elapsedTime * NOISE_SPEED;
  
  // update rotation based on mouse interaction
  easing.damp(pointsRef.current.rotation, 'y', state.mouse.x * 0.12 * Math.PI, 0.25, delta);
  easing.damp(pointsRef.current.rotation, 'x', -state.pointer.y * 0.05 * Math.PI, 0.25, delta);

});

Face Transition Animation

When transitioning between different team members, we combine timeline-based interpolation with visual effects written
in shader materials.

GSAP-Driven Lerp Method

The transition foundation uses GSAP timelines to animate multiple shader parameters simultaneously:

timelineRef.current = gsap
  .timeline()
  .fromTo(uniforms.transition, {value: 0}, {value: 1.3, duration: 1.6})
  .to(uniforms.posZ, {value: particlesParams.offset_z, duration: 1.6}, 0)
  .to(uniforms.zScale, {value: particlesParams.face_scale_z, duration: 1.6}, 0);

And the shader handles the visual blending between two face states:

/* vertex shader */ 

// smooth transition curve
float speed = clamp(transition * mix(0.8, .9, transition), 0., 1.0); 
speed = smoothstep(0.0, 1.0, speed); 

// blend textures 
vec3 mainColorTexture = mix(colorTexture1, colorTexture2, speed); 
vec3 depthValue =mix(depthTexture1, depthTexture2, speed);

To add visual interest during transitions, we further inject additional noise that’s strongest at the midpoint of the
transition. This creates a subtle “disturbance” effect where particles temporarily deviate from their target
positions, making transitions feel more dynamic and organic.

/* vertex shader */ 

// secondary noise movement applied for transition
float randomZ = vRandom.y + cnoise(pos * curlFreq2 + t2) * noiseScale2;

float smoothTransition = abs(sin(speed * PI)); 
pos.x += nxScale * randomZ * 0.1 * smoothTransition; 
pos.y += nyScale *randomZ * 0.1 * smoothTransition;
pos.z += nzScale * randomZ * 0.1 * smoothTransition;

Custom Depth of Field Effect

To enhance the three-dimensional perception, we implemented a custom depth of field effect directly in our shader
material. It calculates view-space distance for each particle and modulates both opacity and size based on proximity
to a configurable focus plane.

/* vertex shader - calculate view distance */

vec4 viewPosition = viewMatrix * modelPosition;
vDistance = abs(focus +viewPosition.z); 

// apply distance to point size for blur effect 
gl_PointSize = pointSize * pScale * vDistance * blur * totalScale;

/* fragment shader - calculate distance-based alpha for DOF */


float alpha = (1.04 - clamp(vDistance * 1.5, 0.0, 1.0));
gl_FragColor = vec4(color, alpha);

Challenges: Unifying Face Scales

One of the challenges we faced was achieving visual consistency across different team members’ photos. Each photograph
was captured under slightly different conditions—varying lighting, camera distances, and facial proportions.
Therefore, we went through each face to calibrate multiple scaling factors:

• Depth scale calibration
  to ensure no nose protrudes too aggressively
• Colour density balancing
  to maintain consistent particle size relationships
• Focus plane optimization
  to prevent excessive blur on any individual face

// individual face parameters requiring manual tuning 

particle_params: { 
  offset_z: 0,           // overall Z-position
  z_depth_scale: 0,      // depth map scaling factor
  face_size: 0,          // overall face scale 
}

Final Words

Our face particle system demonstrates how simple yet careful technical implementation can create fun visual
experiences from minimal assets. By combining lightweight WebP textures, custom shader materials, and animations,
we’ve created a system that transforms simple 2D portraits into interactive 3D figures.

Check out the full site.

Curious about what we’re up to in the Phantom studio? Or have a project you think we’d be interested in? Get in touch.