Stochastic Super-resolution of Cosmological Simulations with Denoising Diffusion Models
In recent years, deep learning models have been successfully employed for augmenting low-resolution cosmological simulations with small-scale information, a task known as "super-resolution". So far, these cosmological super-resolution models have relied on generative adversarial networks (...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Maynooth Academic Publishing
2024-11-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.125902 |
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