High Fidelity Image Generation Using Diffusion Models

Posted by Jonathan Ho, Research Scientist and Chitwan Saharia, Software Engineer, Google Research, Brain Team Natural image synthesis is a broad class of machine learning (ML) tasks with wide-ranging applications that pose a number of design challenges. One example is image super-resolution, in which a model is trained to transform a low resolution image into a detailed high resolution image (e.g., RAISR). Super-resolution has many applications that can range from restoring old family portraits ...