According to example embodiments, an Image View Aggregator identifies a frontal view of an item within an image. The Image View Aggregator identifies at least one reflection view of the item within the image. Each reflection view of the item having been captured off a corresponding reflective physical surface. The Image View Aggregator extracts the frontal view of the item and each reflection view of the item from the image. The Image View Aggregator generates a representation of the item based at least on the extracted frontal view of the item and each extracted reflection view of the item.

In various example embodiments, a system and method for modifying publications of a network-based publication system are presented. The system receives a set of body coordinates from a client device and associates the set of body coordinates with a user account. The system identifies a set of clothing images within a set of publications retrieved as a result of a query. The system generates a set of modified clothing images from one or more images of the set of clothing images and causes presentation of the set of modified clothing images at the client device.

A haptic switch can be used to control one or more display screens. In an example embodiment, the haptic switch takes the form of a flooring sample—such as a sample piece or swatch of a flooring material, for example, ceramic tile, wood, or carpet—that is affixed or otherwise mechanically coupled to an electronic sensor, such as a proximity sensor, a touch sensor, or a pressure sensor. The haptic switch is communicatively coupled to a machine, and the machine stores or is otherwise able to access a database that correlates the haptic switch or its included flooring sample to corresponding texture map data that depicts the flooring sample. The haptic switch is thus usable to select its corresponding texture map data and cause the machine to use the selected texture map data in generating video content and displaying the generated video content on one or more display screens.

A method for securely enabling a user to create a listing for equipment on an equipment online marketplace platform is disclosed. The method may include: receiving a request from a user to create a listing for the equipment on the equipment online marketplace platform; prompting the user to upload one or more images or documents of the equipment; receiving the one or more images or documents of the equipment from the user, the one or more images or documents containing information of the equipment; determining whether an identity of the equipment is verified based on the information of the equipment in the one or more images or documents; and if the identity of the equipment is verified, enabling the user to create a listing for the equipment on the equipment online marketplace platform.

Dynamic and Customized web pages provided by a search engine to link to a retailer's online site are redirected to an integration platform when activated within a browser from search results of a user search. The integration platform segments the web pages into a plurality of sub links that when detected from the activation, which resulted in the browser redirection to the integration platform, cause specific retailer services to be accessed by the integration platform and customized information and services provided to the user within the browser.

A method of displaying a multi-layer digital asset in a digital environment includes retrieving, from a digital blockchain ledger, data associated with a first, primary non fungible cryptographic token (NFT) and data associated with a second, second, sub-asset NFT. The data associated with the first NFT identifies a first retrieval location of a first digital graphics file that is representative of a primary digital asset. The data associated with the second NFT identifies a second retrieval location of a second digital graphics file. The method includes retrieving, the first digital graphics file from the first retrieval location, retrieving the second digital graphics file from the second retrieval location, layering an image from the second digital graphics file onto the primary digital asset to form the multi-layer digital asset, and displaying the multi-layer digital asset in a digital environment.

Technologies for 3D virtual environment placement of 3D models based on 2D images are disclosed. At least an outline of a 3D virtual environment may be generated. A 2D image of one or more 2D images may be identified. A first product from the first 2D image may be identified. At least one 3D model of one or more 3D models based, at least, on the first product may be determined. A first location for placement of the first product in the 3D virtual environment may be identified. The at least one 3D model may be added within the 3D virtual environment based, at least, on the first location. The 3D virtual environment may be rendered into a visually interpretable form. A second product may be identified from the first 2D image, forming a first grouping of products. A starting element for the first grouping of products may be determined.

An autonomous item generation system implements a trained machine learning model configured to output fabrication instructions for generating an item and metadata describing the item, automatically and independent of user input. Fabrication instructions output by the machine learning model are transmitted to a fabrication device for generating the item. The autonomous item generation system generates a listing for the item based on the metadata output by the machine learning model and publishes the listing to a virtual marketplace. Analytics data describing feedback for the item listing is used to generate training data for the machine learning model. The training data is input to the machine learning model, which causes the machine learning model to refine at least one control parameter according to a loss function that penalizes negative differences between predicted and observed feedback data for the item. The machine learning model with the refined parameter(s) is then used by the autonomous item generation system to generate fabrication instructions and metadata for an additional item.

A system comprises at least one processor having a browser. The processor is configured for: receiving a request to purchase a first item (where a browser performs the receiving), displaying by the browser an indication that the first item has been added to a shopping cart of the user, before receiving an acknowledgement that the request has been received by a server, transmitting the request from the browser to the server, and receiving the acknowledgement of the transmitted request from the server after displaying the indication by the browser.

A mobile shopping platform according to an embodiment of the present disclosure includes an image production part including a studio configured to provide an environment to capture images based on extended reality (XR), and a camera configured to capture the images in the studio, a broadcast server configured to receive the images captured by the camera and transmit information and sale prices of products appearing in the images after the information and the sale prices are additionally written, and an output device configured to receive and output the images transmitted from the broadcast server, capable of being operated and set by touching a display, and for which a customer possesses, wherein the output device includes a setting part, and the setting part includes an operation prevention part for preventing operation and a purchase button part for generating a button on each of the images being output on the display.