TriFlow: Generating Artist-Like 3D Mesh Topology via Flow Matching
rsasaki0109 · x · 2026-08-01
Researchers from TU Munich, AUDI AG, and the University of Virginia introduced TriFlow, a new generative approach for producing compact 3D meshes with artist-like triangle topology directly from input geometry like SDFs.
- Core Method: Represents mesh topology as a Nearest-Vertex Vector Field (NVF) and trains a latent flow-matching model to synthesize this field conditioned on the input geometry.
- Mesh Extraction: Clusters surface regions using the generated NVF and guides a constrained Quadric Error Metric (QEM) mesh simplification with topology-aware optimization to output structured, artist-like connectivity.
- Results: TriFlow achieves stronger generalization and significantly improved topology quality compared to state-of-the-art learning-based approaches, alongside a 90% reduction in Chamfer distance.
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