GPU-Driven Mesh Decimation Pipeline with WebGPU Compute Shaders
Accelerating polygon reduction on massive 3D models using parallel Quadric Error Metric (QEM) evaluation in browser WGSL compute passes.
Simplifying high-density 3D scans or CAD geometry on the CPU blocks main threads and freezes user interfaces. Implementing Quadric Error Metric (QEM) mesh decimation directly in WebGPU compute shaders parallelizes edge-collapse operations across thousands of GPU cores.
1. Quadric Error Metric (QEM) Formulation
QEM measures geometric error introduced by collapsing vertex pairs into single points. Evaluating symmetric 4x4 quadric matrices in parallel WGSL compute workgroups identifies candidate edges with minimum visual distortion.
2. Lock-Free Atomic Edge Collapse Passes
Preventing topological mesh corruption during concurrent compute passes requires atomic memory flags to lock adjacent vertex buffers while executing edge-collapse operations.
3. Dynamic Level-of-Detail (LOD) Generation
Generating progressive geometric LOD levels in real time directly on the GPU avoids round-trip network transfers for pre-computed simplified assets, minimizing initial page load size.