[R] Simplified Diffusion Schrödinger Bridge

Paper: [https://arxiv.org/abs/2403.14623](https://arxiv.org/abs/2403.14623)
Code: [https://github.com/tzco/Simplified-Diffusion-Schrodinger-Bridge](https://github.com/tzco/Simplified-Diffusion-Schrodinger-Bridge)

[Generated samples on unpaired dog ↔ cat translation. Left: cat to dog; right: dog to cat. We observe that DSB could preserve pose and texture to a certain extent.](https://preview.redd.it/hl4kz7xgw5qc1.png?width=1660&format=png&auto=webp&s=ef696a5b9171d755aab1297c83f04eba2fef8fb5)


Abstract:

>This paper introduces a novel theoretical simplification of the Diffusion Schrödinger Bridge (DSB) that facilitates its unification with Score-based Generative Models (SGMs), addressing the limitations of DSB in complex data generation and enabling faster convergence and enhanced performance. By employing SGMs as an initial solution for …

abstract bridge convergence data diffusion enabling faster frameworks generative generative models limitations machinelearning novel paper performance solution unification