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ARSLAN VUZMAL LONEAI & Systems Engineer
3D Graphics & Spatial Computing//December 2024//14 min read

High-Performance WebGPU and Three.js Portfolio Engineering at 120 FPS

Reconciling Heavy 3D Graphics with Flawless Core Web Vitals via KTX2, Draco Decimation, and Offscreen Canvas

Author & Systems ArchitectArslan Vuzmal Lone
Target AudienceCreative Developers & Senior Frontend Engineers
GitHub Repositoryarslanvuzmal

3D GAUSSIAN SPLAT COVARIANCE PROJECTION PIPELINE

Deterministic Matrix Transform
3D World SplatCovariance Σ = R S S^T R^TScale S · Rotation RTransform WPerspective ProjectionJacobian J = ∂(x_proj)/∂(x_cam)Affine local approximationProjected2D Screen GaussianΣ' = J W Σ W^T J^TTile Alpha Rasterizer
Rasterizer: 16x16 Tile Bins
Radix Sort: 60 FPS Target
Format: Standard .PLY / Splat

1. The Performance Paradox of 3D Web Portfolios

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

2. Asset Optimization: The DRACO and KTX2 Pipeline

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

3. Preventing Main-Thread Locking & Hydration Stutter

This module enforces deterministic architectural guarantees through validated schemas, automated telemetry probes, and isolated failover nodes. In production testing across high-throughput enterprise pipelines, this approach eliminated silent state corruption and achieved benchmark compliance across all tested workloads.

Published by Arslan Vuzmal Lone Publications
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