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diyer22 | 4 months ago

Exactly what i think!

- The DDN single-shot generator architecture is more efficient than diffusion.

- DDN is fully end-to-end differentiable, allowing for more efficient optimization when integrated with discriminative models or reinforcement learning.

- Moreover, DDN inherently avoids mode collapse.

These points are all mentioned in the blog: https://github.com/Discrete-Distribution-Networks/Discrete-D...

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