MeshSuite: A Unified Benchmark for Triangle- and Mesh-Based Neural Rendering

MeshSuite is the first benchmark designed to systematically evaluate triangle- and mesh-based neural rendering methods in both standard and dedicated engine deployment settings. It compares how different methods perform when using a conventional opaque mesh pipeline versus method-specific engine implementations, and also audits exported surfaces for topological and geometric integrity. The benchmark reveals that engine deployment generally degrades image quality, with MeshSplatting performing best under standard deployment, while dedicated deployment preserves fidelity at a higher computational cost.

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• benchmarks