Abstract: One embodiment of the present invention sets forth a technique for adding dimensions to a target drawing. The technique includes generating a first set of node embeddings for a first set of nodes included in a target graph that represents the target drawing. The technique also includes receiving a second set of node embeddings for a second set of nodes included in a source graph that represents a source drawing, where one or more nodes included in the second set of nodes are associated with one or more source dimensions included in the source drawing. The technique further includes generating a set of mappings between the first and second sets of nodes based similarities between the first set of node embeddings and the second set of node embeddings, and automatically placing the one or more source dimensions within the target drawing based on the set of mappings.

Abstract: A computing system and method that can be used for safe and privacy preserving video representations of participants in a videoconference. In particular, the present disclosure provides a general pipeline for generating reconstructions of videoconference participants based on semantic statuses and/or activity statuses of the participants. The systems and methods of the present disclosure allow for videoconferences that convey necessary or meaningful information of participants through presentation of generalized representations of participants while filtering unnecessary or unwanted information from the representations by leveraging machine-learning models.

Abstract: A method for generating an output image from an input image and an input text instruction that specifies a location and a modification of an edit applied to the input image using a neural network is described. The neural network includes an image encoder, an image decoder, and an instruction attention network. The method includes receiving the input image and the input text instruction; extracting, from the input image, an input image feature that represents features of the input image using the image encoder; generating a spatial feature and a modification feature from the input text instruction using the instruction attention network; generating an edited image feature from the input image feature, the spatial feature and the modification feature; and generating the output image from the edited image feature using the image decoder.

Abstract: A swimming cap including a main body including a first thickness; a rim portion, arranged around a rim of the swimming cap, including a second thickness; two overhang portions configured to be arranged symmetrically on either side of a spine of a wearer; and a recess configured to be arranged in proximity to the spine.

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: An illustrative image processing system determines that an object depicted in an image is an instance of an object type for which a machine learning model is available to the image processing system. In response to the determining that the object is the instance of the object type, the image processing system obtains pose data generated based on the machine learning model to represent how objects of the object type are capable of being posed. The image processing system generates a volumetric representation of the object in an estimated pose. The estimated pose is estimated independently of depth data for the object based on the image and the pose data. Corresponding methods and systems are also disclosed.

Abstract: A system and method for lean ortho correction for computer models of structures. The system displays an image of a structure on a user interface and projects a structure model onto the image. Next, the system identifies a first world three-dimensional (“3D”) point in the image, a second world 3D point in the image, and a third world 3D point in the image. The system then transforms coordinates of the structure model using the first world 3D point, the second world 3D point, the third world 3D point, and a lean ortho correction algorithm.

Abstract: A display device includes: a host which transmits a first signal through a first interface, and transmits a second signal through a second interface different from the first interface; a display driver integrated circuit including a first interface unit which receives the first signal through the first interface, and a second interface unit which receives the second signal through the second interface; and a display panel which receives a data signal corresponding to the first signal and the second signal from the display driver integrated circuit, and displays an image.

Abstract: An intra-oral scanning device and system are augmented to provide an active delete (or filter) tool. The tool automatically detects and deletes unwanted items and artifacts capturing as the scan is being done. The technique provides a better user experience by automatically removing items the deletion of which that may otherwise be time-consuming, frustrating, or impossible for the user to delete any other way.

Abstract: One embodiment provides a method comprising determining metadata corresponding to an input image, determining a black level of a display device and a peak luminance value of the display device, and determining a tone mapping function that adaptively compensates for the black level of the display device based on the metadata, the black level of the display device, and the peak luminance value of the display device. The metadata comprises a distribution of luminance values in the input image. The black level of the display device and the peak luminance value of the display device represent a lowest luminance value and a highest luminance value, respectively, achievable on the display device. The method further comprises applying the tone mapping function to the input image to generate a tone-mapped image that adaptively compensates for the black level of the display device and provided to the display device for presentation.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for utilizing an encoder-decoder architecture to learn a volumetric 3D representation of an object using digital images of the object from multiple viewpoints to render novel views of the object. For instance, the disclosed systems can utilize patch-based image feature extraction to extract lifted feature representations from images corresponding to different viewpoints of an object. Furthermore, the disclosed systems can model view-dependent transformed feature representations using learned transformation kernels. In addition, the disclosed systems can recurrently and concurrently aggregate the transformed feature representations to generate a 3D voxel representation of the object. Furthermore, the disclosed systems can sample frustum features using the 3D voxel representation and transformation kernels.

Abstract: A detection device for detecting human-body orientation includes a camera and a processing device. The camera is configured to capture a human-body image. The processing device is configured to cut a human head contour image in the human-body image to obtain an input image, and input the input image to a classifier. The classifier outputs a plurality of human-body orientation probabilities for the input image. The processing device finds the highest human-body orientation probability, and determines whether the highest human-body orientation probability is above the accuracy threshold. In response to the highest human-body orientation probability being above the accuracy threshold, the processing device regards the human-body orientation corresponding to the highest human-body orientation probability as the determined human-body orientation.

Abstract: Education curricula materials include encoded indicia such as a QR code that contains information related to identifying requested augmented reality image data from a server over a network. By scanning the QR code, a computer uses its decoding software to create a data set for transmitting to the server. The data set may include an identifier for selected augmented reality image data associated with the user's curriculum, information about the curriculum at issue, the academic level of the user, and any other data necessary to ensure that the most appropriate augmented reality image data is transmitted back to the computer. The server transmits comprehensive augmented reality image data back to the computer for viewing on a computerized display accessible by a student. Part of the content may include an interactive pedagogical agent that helps the student with a part of the instruction related to a portion of the curriculum.

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: Examples of the disclosed systems and methods may provide for improved and more realistic rendering of virtual characters and a more realistic interaction between a user and virtual characters. For example, the systems and methods describe techniques for mathematically generating a map used for animating facial expressions in a multidimensional animation blendspace. As another example, the systems and methods describe a transition system for dynamically transitioning facial expressions across a face of the virtual character. As another example, realistic physical movements can be added to a virtual character's facial expressions to provide interactivity with other virtual characters.

Abstract: Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.

Abstract: In a method for facilitating creation of a map of a real-world, process control environment, locations of a mobile device are tracked as a user moves through a mapped environment. A camera of the mobile device captures images of the mapped environment as the user moves through the mapped environment, and the user indicates an intention to add a node to the map. One or more images of the captured images are provided to a machine learning (ML) model, and the ML model is trained to process images to recognize object types. The ML model may predict an object type corresponding to a specific object within a field of view of the camera. A display of the mobile device may then superimpose, on a real-world view presented to the user, an indication of the predicted object type to facilitate user designation of a descriptor for the new node.

Abstract: An apparatus to facilitate copying surface data is disclosed. The apparatus includes copy engine hardware to receive a command to access surface data from a source location in memory to a destination location in the memory, divide the surface data into a plurality of surface data sub-blocks, process the surface data sub-blocks to calculate virtual addresses to which accesses to the memory are to be performed and perform the memory accesses.

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.

Abstract: A method with image augmentation includes recognizing, based on a gaze of the user corresponding to the input image, any one or any combination of any two or more of an object of interest of a user, a situation of the object of interest, and a task of the user from partial regions of an input image determining relevant information indicating an intention of the user, based on any two or any other combination of the object of interest of the user, the situation of the object of interest, and the task of the user, and generating a visually augmented image by visually augmenting the input image based on the relevant information.