TriFlow is a generative method for creating compact 3D meshes with artist-like topology from signed distance fields. It represents mesh topology as a nearest-vertex vector field, trained using flow matching and optimized with topology-aware mesh simplification. The approach achieves 90% lower Chamfer Distance and 8× speedup compared to existing learning-based methods.