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Emilien Seiler

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Preprint Oct 2026

AnchorGen: Anchored Optimization for Customizable Generative 3D Design

Engineering design often starts from a 2D sketch that fixes style and proportions, yet the subsequent 3D shape optimization relies on learned generative priors to keep the geometry valid. However, these priors are agnostic to the sketch: while they admit a valid design by correcting a drifted proposal back to its train...

Han-Tao Zhang, Oliver Heinimann, Jie Wu et al. · 0 citations
Preprint Aug 2026

Flow-Corrected Shape Optimization: Taming Manifold Drift in High-Dimensional 3D Models

A novel optimizer-corrector framework that alternates between gradient steps for objective minimization and guided flow matching to drive the latent state back to the valid shape manifold is introduced, preserving geometric validity without sacrificing expressiveness while remaining computationally feasible on modern 3...

Emilien Seiler, Nicolas Talabot, Ying-Xuan You et al. · 1 citation

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