HUMAN INPAINTING UTILIZING A SEGMENTATION BRANCH FOR GENERATING AN INFILL SEGMENTATION MAP

Smart overview of the Invention

The system focuses on modifying digital images through scene-based editing, leveraging artificial intelligence for enhanced image understanding. It employs generative machine learning models to alter images depicting human subjects, facilitating various forms of image manipulation.

Infill Modifications

The technology enables infill modifications, a process known as human inpainting, to complete or alter sections of digital images featuring humans. This involves generating an infill segmentation map to seamlessly integrate new elements into the existing image structure.

Reposing and Expression Transfer

Beyond simple inpainting, the system can repose subjects within an image, effectively changing their posture or orientation. This capability extends to facial expression transfer and animation, allowing for dynamic modifications that can transform static images into expressive animations.

Machine Learning Models

The core functionality relies on advanced machine learning models that understand and interpret images at a detailed level. These models are trained to recognize human features and contexts within images, enabling precise and contextually aware modifications.

Applications

Potential applications include enhancing photographs, creating realistic animations, and generating content for digital media. This technology provides tools for artists, designers, and developers to innovate in fields such as entertainment, advertising, and social media.