Robotics & Machine Learning Daily News2024,Issue(Oct.22) :148-152.

Researchers Submit Patent Application, 'Parameter-Based Synthetic Model Generati on And Recommendations', for Approval (USPTO 20240331210)

Robotics & Machine Learning Daily News2024,Issue(Oct.22) :148-152.

Researchers Submit Patent Application, 'Parameter-Based Synthetic Model Generati on And Recommendations', for Approval (USPTO 20240331210)

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Abstract

News editors obtained the following quote from the background information suppli ed by the inventors: “Marketing materials often contain images of human models. One challenge faced by developers of such content is that the human models displ ayed are static and may therefore only appeal to a limited demographic segment o f the population. Marketers may try to ensure that a variety of models appear in published materials, so as to appeal to a wide variety of demographic preferenc es and tastes. However, creating a diverse set of content manually is expensive, time consuming, and does not scale. Moreover, there are often new dimensions th at might be of interest to users that may not be accounted for even when the pro duct images are shown on a diverse set of human models.

Key words

Algorithms/Cyborgs/Emerging Technologi es/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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