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Diffusion Process (DP) Validation #1

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JPXKQX opened this issue Jul 12, 2023 · 0 comments
Open

Diffusion Process (DP) Validation #1

JPXKQX opened this issue Jul 12, 2023 · 0 comments
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@JPXKQX
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JPXKQX commented Jul 12, 2023

Add two specific figures for DP validation:

  • Generation GIFF: Figure with 2 plots. Left plot: a ERA5 sample (static). Right plot: the prediction X_t from t=0,...,1000 to visualize the generation process starting from noise. Another option is to consider only the right plot for the GIF and print the correspoding ERA5 sample in a separated PNG
  • Move samples comparison: Move the recurrent save_samples func from diffusion_trainer.py to the evaluation of the model (due to its computation cost).
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