Abstract: A conveying device and a medical device. The conveying device includes a catheter mechanism and a limiting body; wherein the catheter mechanism comprises an inner tube assembly and an outer tube, and the outer tube is sleeved on the inner tube assembly and is configured to be movable along an axial direction of the inner tube assembly; the limiting body is connected to a distal outer surface of the inner tube assembly and is configured to expand or contract along a radial direction of the inner tube assembly; the conveying device is configured such that the catheter mechanism is configured to load the medical stent and to release the medical stent when the outer tube moves from distal to proximal, and the limiting body is configured to expand when the medical stent is released so as to position the medical stent in a target position.

Abstract: Systems and methods are provided for silicon with a carbon-based coating for lithium-ion battery electrodes. An example electrode, for use in an electrochemical cell, includes an active material that includes a plurality of silicon particles, with each silicon particle having a coating covering a surface of the particle. The coating may include a carbon based coating. A least a portion of the silicon (e.g., at least 70%) in the silicon particles is elemental silicon.

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: 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: A tape includes: a substrate, a conductive adhesive layer disposed on the substrate, and an insulating layer disposed on a part of a bonding surface of the conductive adhesive layer. The insulating layer is configured to insulate the conductive adhesive layer from a conducting part of an object to be bonded.

Abstract: Methods and apparatus are disclosed pertaining to paging for Unlicensed New Radio (NR-U). Methods include means to: perform paging using multiple paging occasions (POs) during a DRX Cycle, perform paging using a paging window, perform paging using a PO comprised of multiple sweeps and/or repetitions, signal DL channel access indication for paging, and perform paging using dynamic DRX. In accordance with one embodiment, an apparatus may receive a signal comprising a plurality of POs, wherein each PO comprises a plurality of physical downlink control channel (PDCCH) monitoring occasions. The apparatus may monitor, based on receiving an identifier associated with the apparatus, a portion of the plurality of paging occasions. The apparatus may detect, in a PDCCH monitoring occasion of the plurality of PDCCH monitoring occasions in the monitored portion, paging downlink control information (DCI).

Abstract: A microspheric ionomer having a cross-linked structure, a preparation method therefor, applications thereof, and a preparation system thereof. The ionomer comprises structure units A represented by formula (1), structure units B represented by formula (2), and a cross-linking structure provided by a cross-linking agent, M being separately selected from H, a metal cation, and a straight chain, a saturated alkyl of branched or ring-shaped C1-C20, R being H or a methyl; and metal cations are introduced to part of structure units A in the ionomer. The ionomer shows an outstanding effect on nucleation of PET, serves as a nucleating agent for PET modification, so as to obtain a corresponding PET composition.

Abstract: A second blockchain system receives a first consensus message from a first blockchain system, the first blockchain system includes first nodes that provide services to at least a first account, and the second blockchain system includes second nodes that provide services to at least a second account. The first consensus message indicates a first plurality of the first nodes reaches a consensus for transferring a resource from the first account to the second account. The second blockchain system transfers the resource in the task to the second account. The transferring includes that a node in the second nodes adds the resource to the second account and generates a fourth block that records a completion of a transfer event. A second consensus message is transmitted from the second blockchain system to the first blockchain system in response to a second plurality of the second nodes completing the transfer event.

Abstract: A system and method for detection-guided tracking of human-dynamics is provided. The system receives an input human-dynamics sequence including geometry information and an RGB video of a human object. The system inputs the RGB video to the neural network and estimates a pose of the human object in each frame of the RGB video based on output of the neural network for the input. The system selects, from the input human-dynamics sequence, a key-frame for which the estimated pose is closest to a reference human pose. From the selected key-frame and up to a number of frames of the input human-dynamics sequence, the system generates a tracking sequence for a 3D human mesh of the human object. The generated tracking sequence includes final values of parameters of articulate motion and non-rigid motion of the 3D human mesh. Based on the generated tracking sequence, the system generates a free-viewpoint video.

Abstract: A preparation method for an easily-releasable concrete test mould with an inner wall having ultra-hydrophobic/ultra-smooth performance includes spin-coating a negative photoresist and obtaining a substrate with an inner wall having inverted-trapezoid microstructures by ultraviolet lithography; depositing a metal layer by vacuum evaporation; removing the metal layer on an upper surface of the inverted trapezoid microstructures of the inner wall of the substrate; obtaining a micro-nano hierarchical structure on the metal layer surrounding the inverted trapezoid microstructures of the inner wall of the substrate; spin-coating a molten wax and cooling down to room temperature, and filling the solid wax into micron-level pores between the inverted trapezoid structures; spin-coating a positive photoresist and performing ultraviolet lithography; g.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: An object processing method includes: displaying a first operation interface in response to triggering a first operation control of a first stage of a target object, the first operation interface including at least one first operation item; displaying a content input interface in response to completing an operation for the at least one first operation item, the content input interface including at least one input item; in response to completion of content input for the at least one input item, determining a second target value and generating a second operation control corresponding to a second stage of the target object; displaying a second operation interface in response to triggering the second operation control, the second operation interface including at least one second operation item; and updating the state of the target object to a completed state in response to completing an operation for the second operation item.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for panoptically guiding digital image inpainting utilizing a panoptic inpainting neural network. In some embodiments, the disclosed systems utilize a panoptic inpainting neural network to generate an inpainted digital image according to panoptic segmentation map that defines pixel regions corresponding to different panoptic labels. In some cases, the disclosed systems train a neural network utilizing a semantic discriminator that facilitates generation of digital images that are realistic while also conforming to a semantic segmentation. The disclosed systems generate and provide a panoptic inpainting interface to facilitate user interaction for inpainting digital images. In certain embodiments, the disclosed systems iteratively update an inpainted digital image based on changes to a panoptic segmentation map.

Abstract: A neural human performance capture framework (MVS-PERF) captures the skeleton, body shape and clothes displacement, and appearance of a person from a set of calibrated multiview images. It addresses the ambiguity of predicting the absolute position in monocular human mesh recovery, and bridges the volumetric representation from NeRF to animation-friendly performance capture. MVS-PERF includes three modules to extract feature maps from multiview images and fuse them to a feature volume, regress the feature volume to a naked human parameters vector, generating an SMPL-X skin-tight body mesh with a skeletal pose, body shape, and expression, and leverage a neural radiance field and a deformation field to infer the clothes as the displacement on the naked body using differentiable rendering. Clothed body mesh is obtained by adding the interpolated displacement vectors to the SMPL-X skin-tight body mesh vertices. The obtained radiance field is used for free-view volumetric rendering of the input subject.