Abstract World

AI synthesis technology is the process of using artificial intelligence algorithms to recreate various information such as text, images, audio, and video. The exhibit the mechanism and application scenarios of AI synthesis technology by creating virtual personalized character images through AI and synthesizing them with the scene on the screen.

The unit is designed for unsupervised public use: controls are recessed or shielded, moving parts are enclosed, and the interface is operable by a child of about six with no instruction. Where a screen is used, the language can be switched without changing the hardware, and the content can be replaced on site.

AI technology utilizes deep learning models to analyze a large amount of real and cartoon photo data, learning to convert real-life photos into cartoon style photos, such as regular oil painting style, Hong Kong anime style, pencil drawing style, sketch style, etc. These large amounts of data enable AI to learn specific relationships between real photos and cartoon photos, and thus convert real photos into cartoon photos. The core principle of AI synthesis technology is based on artificial intelligence and deep learning techniques, which simulate or analyze human perception and generation processes to convert data (such as text, images, sound, etc.) into a format that computers can understand and generate. This process involves autonomous decision-making by intelligent agents, support from big data, and innovation in algorithms and models. The principle of image synthesis is based on diffusion models, such as Latent Diffusion Model (LDM). This model gradually adds to the image.