A continuous time framework for discrete denoising models
We provide the first complete continuous time framework for denoising diffusion models of discrete data. This is achieved by formulating the forward noising process and corresponding reverse time generative process as Continuous Time Markov Chains (CTMCs). The model can be efficiently trained using...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Curran Associates
2023
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