A point-wise diffusion transformer predicts spatio-temporal physical fields on arbitrary meshes and point clouds, claiming up to 200x faster inference and better accuracy than image-based diffusion surrogates.
Kang, Generative ai-driven design optimization: eight key application scenarios, JMST Advances (2025) 1--7
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Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system
A point-wise diffusion transformer predicts spatio-temporal physical fields on arbitrary meshes and point clouds, claiming up to 200x faster inference and better accuracy than image-based diffusion surrogates.