On a proprietary tire-architecture dataset, diffusion models outperform VAEs and GANs overall; a masking-trained VAE beats MMVAE+ on component-conditioned generation, and MDM is best in-distribution while DDPM generalizes better out-of-distribution.
Argmax flows and multinomial diffusion: Learning categorical distributions,
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Deep Generative Methods and Tire Architecture Design
On a proprietary tire-architecture dataset, diffusion models outperform VAEs and GANs overall; a masking-trained VAE beats MMVAE+ on component-conditioned generation, and MDM is best in-distribution while DDPM generalizes better out-of-distribution.