Riemannian score-based generative modelling
Score-based generative models (SGMs) are a powerful class of generative models that exhibit remarkable empirical performance.Score-based generative modelling (SGM) consists of a noising'' stage, whereby a diffusion is used to gradually add Gaussian noise to data, and a generative model, wh...
| 主要な著者: | , , , , , |
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| フォーマット: | Conference item |
| 言語: | English |
| 出版事項: |
Curran Associates
2023
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