Abstract: A method for displaying a graphic object on an image is provided. The method includes the steps of: acquiring, with respect to a first graphic object inputted by a user onto a first image of a person's posture, attribute information of the first graphic object that defines the first graphic object; deriving, on the basis of a feature point detected from each of the first image and a second image of a person's posture, a transformation model that defines a transformation relationship between the attribute information of the first graphic object and attribute information of a second graphic object to be displayed on the second image in correspondence to the first graphic object; and displaying, on the basis of the transformation model, the second graphic object at a position on the second image corresponding to a position of the first graphic object on the first image.

Abstract: Various implementations disclosed herein include devices, systems, and methods for compositing an affordance in association with a CGR object representing a physical article. In various implementations, a device includes a display, a non-transitory memory, and one or more processors coupled with the display and the non-transitory memory. In some implementations, a method includes displaying a computer-generated reality (CGR) object in a CGR environment. In some implementations, the CGR object represents a physical article. In some implementations, the method includes compositing an affordance in association with the CGR object. In some implementations, the method includes detecting an input directed to the affordance. In some implementations, the method includes, in response to detecting the input, adding an identifier identifying the physical article to a user selection queue.

Abstract: A data processing method and an electronic device are provided. The data processing method is implemented by a first device. In the method, an image including a first target object is acquired, the first target object being located in a first reality scene where the first device is located. Based on the image, a map corresponding to the first reality scene is built, and data of the map is obtained. The data of the map is transmitted to a second device, the data of the map being used to instruct the second device to perform relocation based on the data of the map and a second target object, the first and second target objects having at least two identical feature points, the second target object being in a second reality scene where the second device is located, and the second reality scene being different from the first reality scene.

Abstract: There is provided a medical display system that includes a control device including an acquisition unit that acquires an operative field image signal generated by a medical imaging device that images an operative field of a patient and a presented information signal generated by a device that includes an external device excluding the medical imaging device and a control unit that generates a display image on the basis of the operative field image signal and the presented information signal, in which the control unit generates the display image by arranging and displaying presented information generated from the presented information signal in an upper region of a display region of the display image, arranging and displaying an operative field image generated on the basis of the operative field image signal in a middle region that has a length equivalent to the upper region in a horizontal direction, and arranging and displaying user interface information used to control the control device in a region on a low

Abstract: An image drawing method and apparatus, and a device and a storage medium, include: in response to a release operation of dragging on a canvas, controlling a brush object located at the head of a brush queue to be dequeued; determining a display position of a brush drawing guide box on the basis of brush position information of the currently dequeued brush object, and determining a display range of the brush drawing guide box on the basis of a brush size and a brush direction; and displaying the brush drawing guide box on the canvas on the basis of the display position and the display range of the brush drawing guide box, so as to guide a user to draw a target-style image by using the brush, thereby satisfying learning and entertainment requirements of the user for image drawing, and improving the user experience.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a graphics processing unit (GPU). The apparatus may obtain a first indication of a first image including a set of first image sections with a plurality of first subsections and a second indication of a second image including a set of second image sections with a plurality of second subsections. The apparatus may also compare one first image section with one second image section. Further, the apparatus may calculate a magnitude of difference between one first subsection and each of the multiple second subsections. The apparatus may also output a third indication of at least one of: (1) a lowest magnitude of difference between the one first subsection and each of the multiple second subsections or (2) a set of coordinates for a second subsection that corresponds to the lowest magnitude of difference.

Abstract: Methods, systems, and storage media for augmenting a video are disclosed. Exemplary implementations may: receive a selection of an effect; receive user-generated content comprising video data and audio data; detect a characteristic of the audio data comprising at least a volume and/or a pitch of the audio data during a period of time; determine a series of numeric values based on the characteristic of the audio data during the period of time, individual numeric values of the series of numeric values being correlated with an amplitude of the volume and/or pitch at a discrete point within the period of time; and augment at least one of the video data and/or the audio data to include the effect based on the series of numeric values at discrete points in time within the period of time.

Abstract: An image processing system is provided. The image processing system includes a display, a processor, and a memory. The memory stores processor-executable code that when executed by the processor causes receiving an image of a region of interest of a patient with a medical tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical tube or line, and displaying the combined image on the display.

Abstract: A server includes a processor and a memory storing instructions that, when executed by the processor, cause the server to receive two-dimensional (2D) images, analyze the images using a trained deep network to generate points, process the labeled points to identify tie points, and combine the 2D dimensional images into a three-dimensional (3D) point cloud using structure-from-motion. A method for generating a semantically-segmented 3D point cloud from 2D data includes receiving 2D images, analyzing the images using a trained deep network to generate labeled points, processing the points to identify tie points, and combining the 2D images into a 3D point cloud using structure-from-motion. A non-transitory computer readable storage medium stores executable instructions that, when executed by a processor, cause a computer to receive 2D images, analyze the images using a trained deep network to generate labeled points, process the points to identify and combine tie points using structure-from-motion.

Abstract: One embodiment of the present invention sets forth a technique for performing style transfer. The technique includes determining a distribution associated with a plurality of style codes for a plurality of three-dimensional (3D) shapes, where each style code included in the plurality of style codes represents a difference between a first 3D shape and a second 3D shape, and where the second 3D shape is generated by applying one or more augmentations to the first 3D shape. The technique also includes sampling from the distribution to generate an additional style code and executing a trained machine learning model based on the additional style code to generate an output 3D shape having style-based attributes associated with the additional style code and content-based attributes associated with an object. The technique further includes generating a 3D model of the object based on the output 3D shape.

Abstract: A head-mounted device (HMD) of a first user has a transparent display. The HMD determines location information of a second user relative to the HMD of the first user. The second user is located within a predefined distance of the HMD. The location information identifies a distance and a direction of the second user relative to the HMD. The HMD receives audio content from the second user, generates augmented reality (AR) content based on the audio content, and displays the AR content in the transparent display based on the location information of the second user. The AR content appears coupled to the second user.

Abstract: A method of electronically displaying glyphs. The method includes receiving a glyph spacing, moving a first glyph toward a second glyph along an axis, identifying an intersection of a first axis coordinate of the first glyph with a second axis coordinate of the second glyph, and moving at least one of the glyphs along the axis to separate the first and second axis coordinates of the respective first and second glyphs by the glyph spacing.

Abstract: Disclosed is an approach for generating interactive visualizations for multi-nodal transfers that may involve terminal nodes and multiple transitional nodes by using various protocols to acquire data from computing systems or devices associated with each node. A first visualization layer comprising a set of geographic or physical indicators in a multi-nodal transfer route (which comprises a set of three or more nodes) may be generated. API protocols (and/or non-API protocols) corresponding to each node in the transfer route may be identified. The protocols may be executed to obtain, from computing systems and devices associated with the nodes, data packets used to generate a second visualization layer, which may comprise graphics that visually depict details of a transfer along the transfer route. An overlay of visualization layers may be displayed such that the graphics are displayed in association with multiple nodes.

Abstract: A method and system for generating a virtual representation of a physical scene, including receiving scene data corresponding to the physical scene, processing the scene data to determine scene components and scene priors corresponding to the scene components, generating, by a plurality of neural networks, dense geometric representations based at least in part on the scene priors, where each dense geometric representation corresponds to a scene component in the scene components, generating a virtual model of the physical scene based at least in part on the dense geometric representations, and generating a virtual representation of the physical scene based at least in part on the scene data, the virtual representation being aligned with the virtual model.

Abstract: A method of enhancing an abnormal area of a ground-penetrating radar image based on hybrid-supervised learning includes the steps of: building a database including a real image set, a simulation image set and a simulation image label set; adopting a generative adversarial network; processing semi-supervised training and unsupervised training alternately to obtain a trained model, then inputting a real radar image with abnormal area that needs to be enhanced into the model and processing through the generative network to output an abnormal-area-enhanced image.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a height map for a digital object portrayed in a digital image and further utilizes the height map to generate a shadow for the digital object. Indeed, in one or more embodiments, the disclosed systems generate (e.g., utilizing a neural network) a height map that indicates the pixels heights for pixels of a digital object portrayed in a digital image. The disclosed systems utilize the pixel heights, along with lighting information for the digital image, to determine how the pixels of the digital image project to create a shadow for the digital object. Further, in some implementations, the disclosed systems utilize the determined shadow projections to generate (e.g., utilizing another neural network) a soft shadow for the digital object. Accordingly, in some cases, the disclosed systems modify the digital image to include the shadow.

Abstract: An apparatus may obtain, by a processor, target object data formatted based on a first format. The target object data may include a plurality of element resources for a three dimensional model. The first format comprising a file format for transmission of three-dimensional model data. The apparatus may obtain, by the processor, configuration information associated with the target object data. The apparatus may generate, by the processor, a data packet of a second format based on the target object data and the configuration information. The apparatus may provide, by the processor, the data packet to a terminal device.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating digital images depicting photorealistic scenes utilizing a digital image collaging neural network. For example, the disclosed systems utilize a digital image collaging neural network having a particular architecture for disentangling generation of scene layouts and pixel colors for different regions of a digital image. In some cases, the disclosed systems break down the process of generating a collage digital into generating images representing different regions such as a background and a foreground to be collaged into a final result. For example, utilizing the digital image collaging neural network, the disclosed systems determine scene layouts and pixel colors for both foreground digital images and background digital images to ultimately collage the foreground and background together into a collage digital image depicting a real-world scene.

Abstract: One embodiment provides a graphics processor comprising a system interface and circuitry coupled with the system interface. The circuitry includes an execution resource and a preemption status register. The execution resource is configured to execute an instruction. During execution of the instruction, the execution resource is to receive a request to preempt execution of a thread associated with the instruction and, based on a value stored in the preemption status register, execute at least one additional instruction after receipt of the request to preempt execution of the thread.

Abstract: Apparatus and method for speculative execution of hit and intersection shaders on programmable ray tracing architectures. For example, one embodiment of an apparatus comprises: single-instruction multiple-data (SIMD) or single-instruction multiple-thread (SIMT) execution units (EUs) to execute shaders; and ray tracing circuitry to execute a ray traversal thread, the ray tracing engine comprising: traversal/intersection circuitry, responsive to the traversal thread, to traverse a ray through an acceleration data structure comprising a plurality of hierarchically arranged nodes and to intersect the ray with a primitive contained within at least one of the nodes; and shader deferral circuitry to defer and aggregate multiple shader invocations resulting from the traversal thread until a particular triggering event is detected, wherein the multiple shaders are to be dispatched on the EUs in a single shader batch upon detection of the triggering event.