Pareto-Splat: A Detailed Guide to Quality-Efficiency Trade-offs in 3D Gaussian Splatting

Pareto-Splat is a reproducible research pipeline for studying quality, speed, and model-size trade-offs in 3D Gaussian Splatting. It wraps a pinned GraphDeCo baseline with held-out evaluation, CUDA profiling, post-training Gaussian pruning, Pareto-front analysis, controlled robustness studies, and presentation tooling.