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Latent diffusion model
Diffusion model over latent embedding space
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- Artificial Intelligence in Meteorology (1)
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🏷️ Keywords
PuYun-LDM (1) · Latent Diffusion Model (1) · Weather Forecasting (1) · High-Resolution Meteorology (1) · Ensemble Prediction (1) · Artificial Intelligence (1) · Climate Modeling (1)
📖 Key Information
The Latent Diffusion Model (LDM) is a diffusion model architecture developed by the CompVis (Computer Vision & Learning) group at LMU Munich.
Introduced in 2015, diffusion models (DMs) are trained with the objective of removing successive applications of noise (commonly Gaussian) on training images. The LDM is an improvement on standard DM by performing diffusion modeling in a latent space, and by allowing self-attention and cross-attention conditioning.
📰 Related News (1)
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🇺🇸 PuYun-LDM: A Latent Diffusion Model for High-Resolution Ensemble Weather Forecasts
arXiv:2602.11807v2 Announce Type: replace Abstract: Latent diffusion models (LDMs) suffer from limited diffusability in high-resolution (<=0.25{\deg}...
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