SOURCE-LINKED INTELLIGENCE

MeshSplatBench: A Unified Benchmark for Triangle-Based Neural Rendering

arXiv · AI, language, vision and robotics · article · Sep 1, 2026 · UTC

Triangle-based neural rendering bridges neural scene representations and conventional graphics pipelines by optimizing explicit geometric primitives compatible with standard rasterization hardware. However, existing approaches are evaluated almost exclusively within custom research renderers, obscuring their practical deployability in production engines. To bridge this gap, we introduce \textbf{MeshSplatBench}, a unified benchmark that systematically investigates triangle-based neural rendering across the complete pipeline from native optimization to game-engine deployment. MeshSplatBench esta

Read original source ↗ Open in workspace

recordType

paper

region

Global