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ReGDiff: Exploring Metamaterial Voxel Geometry with Guided Diffusion in a Controlled Latent Space

A team led by Dawei Zhou at Virginia Tech and researchers at Meta propose ReGDiff in a NeurIPS 2026 paper to generate metamaterial voxel structures that satisfy geometric constraints. The method has two steps: first, an RAS mechanism organizes the autoencoder latent space into a form where good and bad structures are clearly separated and good structures are evenly distributed; then, short-range repulsion (SRR) pushes latent variables away from the near neighbors of known samples during sampling, and it takes effect only at inference time.

Part of the event: ReGDiff uses controlled latent space guided diffusion to generate metamaterial voxel structures

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