Walmart had one patent in social media during Q4 2023. Walmart Inc has developed a system for body parameters-sensitive facial transfer in a fashion retail environment using deep fake neural networks. This system can estimate target body shapes, create body type clusters, match subject body shapes to target shapes, and perform facial transfers onto target objects to generate output objects. GlobalData’s report on Walmart gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Walmart grant share with social media as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: System and method for body parameters-sensitive facial transfer in an online fashion retail environment (Patent ID: US20230334527A1)
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The patent filed by Walmart Inc. describes a system for body parameters-sensitive facial transfer in a fashion retail environment using deep fake neural networks. The system involves modules for estimating target body shapes, creating body type clusters, matching subject body shapes, and performing facial transfers onto target objects. The method includes receiving information about the subject's body shape, identifying a similar target body shape, and generating an output object through facial transfer using deep fake neural networks. The system can create various types of output objects, such as images, videos, and animations, based on the identified target body shape.
Additionally, the system includes modules for estimating skin tone, generating garment segments, estimating poses, and utilizing cloth-skin displacement models to determine target body shapes accurately. The system can receive subject information from various sources, such as direct input, purchase history, or 2D images. The method also caters to social media influencers and customers within the fashion retail environment. Overall, the system aims to enhance the shopping experience by providing personalized visual representations of garments on individuals based on their body parameters, ultimately improving customer engagement and satisfaction in the fashion retail sector.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
