https://sander.ai/2022/01/31/diffusion.html

The differences are thoroughly discussed here. From my point of view, while there is this surface-level similarity, the training process for diffusion models is directly a result of the mathematical framework on which they are defined which is distinct from denoising autoencoders.

I'd suggest reading the above blog if you are interested, it is thorough!