Image Inpainting
The task of filling in missing or masked regions of an image with plausible content.
Overview
Image inpainting is the process of reconstructing missing or damaged parts of an image in a visually coherent way. Modern AI-powered inpainting uses diffusion models or GANs to generate content that seamlessly blends with the surrounding image, understanding context, texture, and structure.
Key Details
Applications include photo restoration, object removal (removing unwanted elements from photos), image editing (replacing backgrounds or objects), and creative tools in products like Adobe Photoshop's Generative Fill. Inpainting models must understand both local texture patterns and global image semantics to produce convincing results.