Core Viewpoint - The article discusses the development of an ultra-low power AI image generator based on optical methods, which significantly reduces energy consumption compared to traditional AI models [1][3]. Group 1: Technology Overview - The optical generative model is inspired by diffusion models and operates by generating static noise through a digital encoder, which consumes minimal energy [2][11]. - The system utilizes a spatial light modulator (SLM) to imprint the noise pattern onto a laser beam, which is then decoded into the final image by a second SLM [2][3]. - Unlike traditional AI that relies on millions of computational operations, this optical system performs all core tasks using light, resulting in almost no energy consumption [3][11]. Group 2: Applications and Potential - The technology has broad application prospects, including generating images and videos for VR and AR displays, as well as for wearable devices like smartphones and AI glasses [6][9]. - The optical generative model can produce monochrome or color images based on target data distributions, showcasing its versatility [11][12]. Group 3: Experimental Results - Initial experiments using the MNIST and Fashion-MNIST datasets achieved FID scores of 131.08 and 180.57, respectively, indicating that the generated images align well with the target distributions [22]. - High-resolution experiments for generating Van Gogh-style artworks demonstrated the model's capability to produce both monochrome and color images with excellent quality [24][28].