Robert Boschgmbh

Carnegie Mellon University

Bahare Azari

Filipe J Cabrita Condessa

Ruslan Salakhutdinov

Jeremy Zieg Kolter

João D Semedo

Yutong He

Marcus Pereira

A method discloses receiving, at a cross-attention layer of a model, first text data describing a first object and second text data describing a first scene, wherein the first text data includes a description of a location of the first object, utilizing the model with cross-attention layers, concatenating the first text data and the second text data to generate a prompt; generating, a broadcasted location mask constructed from at least the location; generating, a broadcasted all-one matrix associated with the second text data described the first scene; computing a key matrix and a value matrix utilizing separate linear projections of the prompt; computing a query matrix utilizing linear projections; generating a broadcasted location matrix in response to concatenating the broadcasted location mask and the broadcasted all-one matrix; generating a cross-attention map utilizing the query matrix, the key matrix, and the broadcasted location matrix; and outputting a final image.

System and method for localized text to image generation for free via cross attention

Growing community of inventors

San Jose, CA, United States of America

Bahare Azari