Hi, thank you for sharing such impressive work! I am wondering if there is another path to derive a diffusion classifier. Diffusion model is an SDE, which has a closed ODE form. The ODE allows us to calculate the exact log-likelihood of an input X. The higher the likelihood, the more reliable the model believes the input X is from the distribution. So I think using the log-likelihood can be another strategy to implement all the functionalities in your paper, such as zero-shot classifier.

Best,
Zhangzhi