首页|"Embedding An Input Image To A Diffusion Model" in Patent Application Approval P rocess (USPTO 20240161462)
"Embedding An Input Image To A Diffusion Model" in Patent Application Approval P rocess (USPTO 20240161462)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A patent application by the inventors Gandelsman, Yosef (Berkeley, CA, US); Park, Taesung (San Francisco, CA, US); She chtman, Elya (Seattle, WA, US); Zhang, Richard (Burlingame, CA, US), filed on No vember 8, 2022, was made available online on May 16, 2024, according to news rep orting originating from Washington, D.C., by NewsRx correspondents. This patent application has not been assigned to a company or institution. The following quote was obtained by the news editors from the background informa tion supplied by the inventors: "The following relates generally to image proces sing, and more specifically to image generation using machine learning. "Image processing is a type of data processing that involves manipulating or gen erating image data. Recently, machine learning (ML) models have been used in adv anced image processing techniques. Among these ML models, diffusion models and o ther generative models such as generative adversarial networks (GANs) have been used for various tasks including generating images with perceptual metrics, gene rating images in conditional settings, image inpainting, and image manipulation.
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