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. Meanwhile, after seeing the effectiveness of SR3, Google used these SR3 models for class-conditional image generation. "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. Read more in our articles including "Google intros new AI photo upscaling tech" and "KiQ intros cheaper UNLI data, physical SIM".
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.
Meanwhile, after seeing the effectiveness of SR3, Google used these SR3 models for class-conditional image generation. "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.
Our coverage of Google AI-based image includes: "Google intros new AI photo upscaling tech"; "KiQ intros cheaper UNLI data, physical SIM"; "realme P4 Series coming to the Philippines". Each article provides unique insights and information.