AI RESEARCH
Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single-Image Denoising
arXiv CS.CV
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ArXi:2502.06432v3 Announce Type: replace Many studies have concentrated on constructing supervised models utilizing paired datasets for image denoising, which proves to be expensive and time-consuming. Current self-supervised and unsupervised approaches typically rely on blind-spot networks or sub-image pairs sampling, resulting in pixel information loss and destruction of detailed structural information, thereby significantly cons