Iterative α-(de)blending and Stochastic Interpolants
In this post I'm looking into a paper the authors of which promise to make diffusion models simple to understand and implement, called Iterative α-(de)blending1, and find out that this promise is only partially fulfilled, at least personally. I reproduce the algorithm from the paper and apply it to the generation of MNIST digits, like I did in the previous series of posts, and find out that something is missing. As the title of the post reveals, we might find the missing ingredient in Stochastic interpolants.