Mitigating hallucination with non-adversarial strategies for image-to-image translation in solar physics

Open Access

Fig. A.1

Second training stage of DiffI2I model learning to recover ℰ^𝒫 vectors from embedding space ℰ^𝒲. DiffI2I model uses forward and backward diffusion process for recovery. In contrast to our deterministic I2IwFiLM approach, involving noise introduces diversity in ℰ^𝒫 recovery, potentially affecting physical accuracy of ${\hat{I}}_{C}$ $\[\widehat{\mathcal{I}}_{\mathcal{C}}\]$ prediction.

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