#Google CDM

Google has recently introduced new AI-based image upscaling technology that enhances the quality of low-resolution images. In a post on Google’s AI blog titled "High Fidelity Image Generation Using Diffusion Model," the researchers from Brain Team unveiled two diffusion models to generate high-fidelity images. The two models are Super-Resolution via Repeated Refinements (SR3) and Cascaded Diffusion Models (CDM). Meanwhile, after seeing the effectiveness of SR3, Google used these SR3 models for class-conditional image generation. CDM is identified as a class-conditional diffusion model trained on ImageNet data to generate high-resolution natural images. "Since ImageNet is a difficult, high-entropy dataset, we built CDM as a cascade of multiple diffusion models," Google said in the blog. “With SR3 and CDM, we have pushed the performance of diffusion models to state-of-the-art on super-resolution and class-conditional ImageNet generation benchmarks,” said Google. Google will further test the limits of diffusion models for a wide variety of generative modeling problems. Read more in our articles including "Google intros new AI photo upscaling tech" and "KiQ intros cheaper UNLI data, physical SIM".