3D Generative Art

3D generative art represents a fascinating intersection of technology and creativity. By combining artificial intelligence with real-time rendering engines, we can now create dynamic and evolving visual experiences that respond to the observer's presence and interactions.

In this project, I developed a WebGL-based system that generates unique 3D models using neural networks and evolutionary algorithms. The final piece can be explored from any angle, revealing new patterns and details from different viewing perspectives.

Through continuous iteration based on genetic algorithms, these digital sculptures evolve over time, creating never-before-seen forms that challenge our understanding of art and computation.

// Genetic Algorithm Example
function evolveShape() {
  const population = generateInitialPopulation();
  
  for (let i = 0; i < MAX_GENERATIONS; i++) {
    evaluateFitness(population);
    const nextGeneration = selectBest(population);
    applyMutations(nextGeneration);
    population = nextGeneration;
  }
  
  return getBestIndividual(population);
}

// 3D Rendering Pipeline
const renderer = new WebGLRenderer();
const scene = new THREE.Scene();
const camera = new THREE.PerspectiveCamera(75, window.innerWidth/window.innerHeight, 0.1, 1000);

scene.add(createEvolvedModel());