March 22, 2024, 4:42 a.m. | Zhicong Tang, Tiankai Hang, Shuyang Gu, Dong Chen, Baining Guo

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.14623v1 Announce Type: new
Abstract: This paper introduces a novel theoretical simplification of the Diffusion Schr\"odinger 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 DSB, our approach capitalizes on the strengths of both frameworks, ensuring a more efficient training process and improving the performance of SGM. We also propose a reparameterization technique that, …

arxiv bridge cs.cv cs.lg diffusion simplified type

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