Adobezii May 2026

We present Adobezii , a latent diffusion model fine-tuned on a dataset of 50k damaged artworks and manuscripts. Unlike previous methods, Adobezii integrates a perceptual loss from a ViT-G/14 classifier and a novel edge consistency module, achieving a FID score of 3.2 on the test set. User studies confirm 89% preference for Adobezii outputs over baseline inpainting tools. The system runs at 30 fps on a single A100 GPU.

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Adobezii: A Generative Diffusion Model for Real-Time Semantic Inpainting of High-Resolution Cultural Heritage Images We present Adobezii , a latent diffusion model