#sampling
2 posts · all tags
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· DDIM vs DDPM
Diffusion models have emerged as a powerful class of deep generative models, particularly excelling in image synthesis tasks. This article delves into a comprehensive comparison of two significant variants: Denoising Diffusion Probabilistic Models (DDPM) and Denoising Diffusion Implicit Models (DDIM).
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· Having fun with decoding and optimization
Hey. One topic very fascinating for me is coding theory. It can be very challenging and it can be pleasing for a more mathematical inclined person or someone like me that, likes a lot mathematics but like engineering as well. I think that the beginning of coding theory is strong related to Shannon work, A mathematical theory of communication but it can be interpreted in a very broad sense. What I mean by that is that a lot of natural phenomenum can be interpreted as an application of coding theory. For instance, you can consider the language as a coding theory application where what is done by expressing ourselfs in words is to find an optimal code for communicating thoughts. Other interesting example is what happens in natural evolution. Basically, there you can interpret the changes on environment and the DNA of species being on a communication channel where the DNA is coding the optimal way to survive on a given environment.