Mirror Diffusion Models
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
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https://service.tib.eu/ldmservice/dataset/1a7194b2-354d-415b-bd80-9b70e01e9de0
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资源简介：
Diffusion models have successfully been applied to generative tasks in various continuous domains. However, applying diffusion to discrete categorical data remains a non-trivial task. Moreover, generation in continuous domains often requires clipping in practice, which motivates the need for a theoretical framework for adapting diffusion to constrained domains.
提供机构：
TIB
创建时间：
2024-12-02
