threejs-errors-performance

To fix Three.js memory leaks and slow FPS, apply deterministic disposal patterns for geometries and materials, and profile GPU/CPU bottlenecks using renderer.info and Stats.js to identify excessive draw calls.

Memory growth in Three.js occurs from improper resource disposal. You must explicitly dispose of geometries, materials, and textures when removing objects from the scene to prevent memory fragmentation during long-running sessions.

Yes, you can use InstancedMesh to batch identical objects and Level of Detail (LOD) to reduce polygon counts at a distance, significantly lowering draw calls and optimizing complex Three.js scenes.

The best way to profile Three.js bottlenecks is to monitor renderer.info for draw call counts and use Stats.js to track FPS, enabling a deterministic diagnostic flow to pinpoint CPU or GPU performance limits.

To optimize dynamic spawning, apply frustum culling to skip rendering off-screen objects and implement object pooling strategies to reuse meshes, reducing garbage collection spikes and memory fragmentation.