The study investigates the impact of using a latent structural diffusion model for denoising tasks, revealing optimal configurations for layer replication to enhance feature fusion.
Experiments indicate that joint learning of image appearance, spatial relationships, and geometry leads to superior results, while an excess of layers can hinder performance.
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