5 results about "Content retention" patented technology

Methods, non-transitory computer readable media, apparatuses, and systems for image inpainting include obtaining, via a user interface, an input image and a local content preservation value and receiving a content generation selection. The content generation selection applies the local content preservation value to at least one pixel of the input image. An image generation model then generates an output image based on the input image and the content generation selection. The output image includes synthetic content in a region specified by the content generation selection, and a degree of adherence of the synthetic content to the input image is based on the local content preservation value.

A method, non-transitory computer readable medium, apparatus, and system for image generation are described. An embodiment of the present disclosure includes obtaining an input image, an inpainting mask, and a plurality of content preservation values corresponding to different regions of the inpainting mask, and identifying a plurality of mask bands of the inpainting mask based on the plurality of content preservation values. An image generation model generates an output image based on the input image and the inpainting mask. The output image is generated in a plurality of phases. Each of the plurality of phases uses a corresponding mask band of the plurality of mask bands as an input.

Systems and techniques for validation and generation of localized content for audio and video are described herein. The systems and techniques provide for training of twin neural networks to evaluate performance characteristics, sometimes referred to as content-auxiliary characteristics, of a localized performance. The localized performance may be validated or improved by identifying misalignment in the performance characteristics to ensure that localized content preserves content as well as creative intent and performance ability in the final product. The machine learning models trained using the techniques described herein may be used in connection with auto-localization processes to automatically generate high quality localized audio and video content.

A molded fiber tray is disclosed herein. The molded fiber tray includes a base, a sidewall extending from the base to form a content retention structure, an edge extending from the sidewall configured to end the molded fiber tray, and a barrier layer formed on interior surfaces of the base, the sidewall, and the edge. The barrier layer is configured to be substantially chemically inert with respect to the contents in the content retention structure. The base may include a geometric pattern. The sidewall may include a step.

The present application relates to the field of data processing technology, and provides a method, device, electronic device, and storage medium for evaluating the retention value of content. The method responds to a retention value evaluation request for target log content, obtains content features of the target log content and consumption behavior features of different users in a historical preset time period; based on the content features and consumption behavior features, obtains the retention score of the target log content in each historical sub-time period; based on the retention score in each historical sub-time period and the configured weight of the corresponding historical sub-time period, determines the target retention value comprehensive value of the target log content. The method determines the target retention value comprehensive value of the corresponding content by analyzing the user's consumption behavior and the content features of the consumption in real time, so as to quickly evaluate the attractiveness and retention value of the content, and improve the response speed and accuracy of the recommendation system.