![[2602.22430] TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
[2602.22430] TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures
Summary
TopoEdit presents a novel approach for fast post-optimization editing of topology optimized structures, enhancing mechanical performance while preserving design integrity.
Why It Matters
This research addresses the challenges in modifying topology optimized structures, which are critical in engineering and design. By improving the editing process, TopoEdit enables more efficient and reliable design revisions, potentially leading to better-performing materials and structures in various applications.
Key Takeaways
- TopoEdit utilizes structured latent embeddings for efficient edits.
- The method preserves mechanical performance during modifications.
- It allows for rapid generation of design candidates, improving workflow.
Computer Science > Graphics arXiv:2602.22430 (cs) [Submitted on 25 Feb 2026] Title:TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures Authors:Hongrui Chen, Josephine V. Carstensen, Faez Ahmed View a PDF of the paper titled TopoEdit: Fast Post-Optimization Editing of Topology Optimized Structures, by Hongrui Chen and 2 other authors View PDF HTML (experimental) Abstract:Despite topology optimization producing high-performance structures, late-stage localized revisions remain brittle: direct density-space edits (e.g., warping pixels, inserting holes, swapping infill) can sever load paths and sharply degrade compliance, while re-running optimization is slow and may drift toward a qualitatively different design. We present TopoEdit, a fast post-optimization editor that demonstrates how structured latent embeddings from a pre-trained topology foundation model (OAT) can be repurposed as an interface for physics-aware engineering edits. Given an optimized topology, TopoEdit encodes it into OAT's spatial latent, applies partial noising to preserve instance identity while increasing editability, and injects user intent through an edit-then-denoise diffusion pipeline. We instantiate three edit operators: drag-based topology warping with boundary-condition-consistent conditioning updates, shell-infill lattice replacement using a lattice-anchored reference latent with updated volume-fraction conditioning, and late-stage no-design region enforcement via masked la...