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APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
One underlying cause is that traditional diffusion models approximate Gaussian noise distribution by utilizing predictive noise, without fully accounting for the impact of inherent information within the input itself.
Implicit Neural Feature Fusion Function for Multispectral and Hyperspectral Image Fusion
In this paper, inspired by previous work of MHIF task, we realize that HR-MSI could serve as a high-frequency detail auxiliary input, leading us to propose a novel INR-based hyperspectral fusion function named Implicit Neural Feature Fusion Function (INF).
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