US Patent Issued to ADOBE on Sept. 29 for "Modality specific learnable attention for multi-conditioned diffusion models" (California Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,749,293, issued on Sept. 29, was assigned to ADOBE INC. (San Jose, Calif.).

"Modality specific learnable attention for multi-conditioned diffusion models" was invented by Hareesh Ravi (San Jose, Calif.), Aashish Kumar Misraa (Santa Clara, Calif.) and Ajinkya Gorakhnath Kale (San Jose, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method, apparatus, non-transitory computer readable medium, and system for image generation include encoding a text prompt to obtain a text embedding. An image prompt is encoded to obtain an image embedding. Cross-attention is performed on the text embedding and then on the image embedding to obtain a text attention ...