InpDiffusion treats image inpainting localization as a conditional mask-generation task with a diffusion model, using edge supervision to refine boundaries, and reports state-of-the-art AUC on Inpaint32K, DID, AutoSplice, IMD, and NIST.
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InpDiffusion: Image Inpainting Localization via Conditional Diffusion Models
InpDiffusion treats image inpainting localization as a conditional mask-generation task with a diffusion model, using edge supervision to refine boundaries, and reports state-of-the-art AUC on Inpaint32K, DID, AutoSplice, IMD, and NIST.