SAGI: Semantically Aligned and Uncertainty Guided AI Image Inpainting
SAGI is a model-agnostic pipeline for generating high-quality AI inpainted images with semantic alignment and uncertainty guidance. We create SAGI-D, currently the largest and most diverse dataset of AI-generated inpaintings, comprising over 95k inpainted images.
The dataset has been temporarily removed from Kaggle. Contact giakoupg@iti.gr for full access to the dataset
Paschalis Giakoumoglou: giakoupg@iti.gr