Abstract: The innovation discloses systems, methods and computer program products that reduce complexity and associated measures that are taken to ensure trust in secured transactions as necessitated by requirements present only in an ecommerce environment that do not have a parallel with traditional bricks and mortar commercial transactions. The innovation enables a multitude of mobile wallet applications to engage and obtain services from ecommerce applications wherein backend processing by a mobile wallet server obtains and delivers funds to ecommerce applications without sharing a subset of sensitive data, associated with a mobile wallet application user for the secured transactions. The innovation further provides for a wallet network to be initiated and engaged in which the secured transactions can take place, adopting and adapting social network application connectivity.

Abstract: Techniques enabling accounts of a social networking system to monitor online interactions by supervised accounts across multiple platforms are described. For example, a social networking system (SNS) may receive, from a first account, a request to invite a second account to join a Family Center (FC) so the FC includes data associated with first and second platforms of the SNS. The SNS may receive, from the second account, an indication to accept the request to join the FC associating the first and second accounts via the FC. In some examples, the SNS may receive, from the second account, a request to access the FC. Based on receiving the request to access the FC, the SNS may cause presentation to the second account of interaction data associated with interactions between the first account and the first platform of the SNS and the first account and the second platform of the SNS.

Abstract: This disclosure provides systems, methods and apparatuses for enabling downlink throttling, such as for thermal mitigation. For example, a user equipment (UE) may transmit channel state feedback (CSF) with a report of a first rank that is less than a second rank associated with a channel condition and may communicate with a base station using a configuration associated with the first rank and without a set of sounding reference signals (SRSs). Alternatively, the UE may transmit one or more SRSs using a configuration associated with the first rank. In this way, by refraining from transmission of the SRSs or by adjusting the configuration the SRSs, the UE causes the base station to support downlink throttling.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and an apparatus are provided. The apparatus may be a user equipment (UE) or component thereof. The apparatus may be configured to transmit to a base station a first request to transmit data in a buffer. The apparatus may be further configured to transmit to the base station a second request to transmit the data in the buffer in absence of a grant in response to the first transmit request. The apparatus may be further configured to remain awake for at least a portion of a scheduled discontinuous reception (DRX) sleep state following the transmission of the second request.

Abstract: Techniques for notifying parent accounts of problematic interactions by teens is described. For example, a social networking system may receive, from a first account, an indication of a problematic interaction. Based at least in part on receiving the indication, the social networking system may cause presentation, to the first account, of a prompt to notify a second account associated with the first account of the interaction. Based at least in part on receiving a confirmation from the first account, the social networking system may then send, to the second account, a notification of the problematic interaction.

Abstract: Certain aspects of the present disclosure provide techniques for handling coordinated beamforming in wireless communications systems. An example method performed by a first access point (AP) generally includes outputting, for transmission to a second AP, at least one of a first indication that the first AP supports spatial reuse of transmission resources or a second indication that the first AP supports asymmetric coordinated beamforming (CBF); and outputting, for transmission, signaling to one or more stations (STAs) supported by the first AP without intent to form nulls directed toward other STAs supported by the second AP.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify two-dimensional images via scene-based editing using three-dimensional representations of the two-dimensional images. For instance, in one or more embodiments, the disclosed systems utilize three-dimensional representations of two-dimensional images to generate and modify shadows in the two-dimensional images according to various shadow maps. Additionally, the disclosed systems utilize three-dimensional representations of two-dimensional images to modify humans in the two-dimensional images. The disclosed systems also utilize three-dimensional representations of two-dimensional images to provide scene scale estimation via scale fields of the two-dimensional images. In some embodiments, the disclosed systems utilizes three-dimensional representations of two-dimensional images to generate and visualize 3D planar surfaces for modifying objects in two-dimensional images.

Abstract: Techniques for notifying parent accounts of problematic interactions by teens is described. For example, a social networking system may receive, from a first account of the social networking system, an indication of an interaction between the first account and a content item. Based on determining that the interaction is a problematic interaction, the social networking system may send, to a second account associated with the first account, a notification of the problematic interaction. The social networking system may cause presentation, to the second account, of a selectable control associated with one or more resources regarding addressing the problematic interaction.

Abstract: Certain aspects of the present disclosure provide techniques for scheduling and bandwidth part (BWP) adaptation for extended reality (XR). A method that may be performed by a user equipment (UE) includes obtaining an indication to change at least one of a minimum control-channel-to-data-channel delay or a bandwidth for receiving a first transmission on a BWP; changing the at least one of the minimum control-channel-to-data-channel delay to a new minimum control-channel-to-data-channel delay or the bandwidth on the BWP to a new bandwidth; and receiving the first transmission on the BWP using the at least one of the new minimum control-channel-to-data-channel delay or the new bandwidth of the BWP.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: An image generation system implements a multi-branch GAN to generate images that each express visually similar content in a different modality. A generator portion of the multi-branch GAN includes multiple branches that are each tasked with generating one of the different modalities. A discriminator portion of the multi-branch GAN includes multiple fidelity discriminators, one for each of the generator branches, and a consistency discriminator, which constrains the outputs generated by the different generator branches to appear visually similar to one another. During training, outputs from each of the fidelity discriminators and the consistency discriminator are used to compute a non-saturating GAN loss. The non-saturating GAN loss is used to refine parameters of the multi-branch GAN during training until model convergence. The trained multi-branch GAN generates multiple images from a single input, where each of the multiple images depicts visually similar content expressed in a different modality.

Abstract: Systems and techniques are provided for performing spatial audio recording. For instance, a process can include detecting an occlusion for at least one audio frame of one or more audio frames associated with a spatial audio recording. During the spatial audio recording, the process can further include selecting, based on detection of the occlusion, at least one of an occluded spatial filter for the one or more audio frames or a non-occluded spatial filter for the one or more audio frames.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via multi-layered scene completion techniques facilitated by artificial intelligence. For instance, in some embodiments, the disclosed systems receive a digital image portraying a first object and a second object against a background, where the first object occludes a portion of the second object. Additionally, the disclosed systems pre-process the digital image to generate a first content fill for the portion of the second object occluded by the first object and a second content fill for a portion of the background occluded by the second object. After pre-processing, the disclosed systems detect one or more user interactions to move or delete the first object from the digital image. The disclosed systems further modify the digital image by moving or deleting the first object and exposing the first content fill for the portion of the second object.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that modify digital images via scene-based editing using image understanding facilitated by artificial intelligence. For example, in one or more embodiments the disclosed systems utilize generative machine learning models to create modified digital images portraying human subjects. In particular, the disclosed systems generate modified digital images by performing infill modifications to complete a digital image or human inpainting for portions of a digital image that portrays a human. Moreover, in some embodiments, the disclosed systems perform reposing of subjects portrayed within a digital image to generate modified digital images. In addition, the disclosed systems in some embodiments perform facial expression transfer and facial expression animations to generate modified digital images or animations.

Abstract: Disclosed are techniques for communication. In an aspect, a network component determines location assistance data comprising information associated with one or more reconfigurable intelligent surfaces (RISs). The network component transmits, to a user equipment (UE), the location assistance data to facilitate one or more location procedures based on the location assistance data. The UE receives the location assistance data and performs the one or more location procedures based on the location assistance data.