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.

Abstract: A SIMD processing unit processes a plurality of tasks which each include up to a predetermined maximum number of work items. The work items of a task are arranged for executing a common sequence of instructions on respective data items. The data items are arranged into blocks, with some of the blocks including at least one invalid data item. Work items which relate to invalid data items are invalid work items. The SIMD processing unit comprises a group of processing lanes configured to execute instructions of work items of a particular task over a plurality of processing cycles. A control module assembles work items into the tasks based on the validity of the work items, so that invalid work items of the particular task are temporally aligned across the processing lanes. In this way the number of wasted processing slots due to invalid work items may be reduced.

Abstract: An augmented reality (AR) system and an operation method thereof are provided. The AR system includes a target device and an AR device. The AR device captures the target device to generate a picture. The target device provides a digital content to the AR device. The AR device tracks the target device in the picture for an AR application. During the AR application, the AR device overlays the digital content on the target device in the picture.

Abstract: Methods, devices, media, and other embodiments are described for generating pseudorandom animations matched to audio data on a device. In one embodiment a video is generated and output on a display of the device using a computer animation model. Audio is detected from a microphone of the device, and the audio data is processed to determine a set of audio characteristics for the audio data received at the microphone of the device. A first motion state is randomly selected from the plurality of motion states, one or more motion values of the first motion state are generated using the set of audio characteristics, and the video is updated using the one or more motion values with the computer animation model to create an animated action within the video.

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: The present disclosure is directed to a software tool that facilitates the presentation of a three-dimensional view of a construction project as well as the generation of various types of two-dimensional technical drawings based on this three-dimensional view. In one implementation, the software tool causes a computing device to engage in the following operations. The computing device may receive a user input identifying at least one first mesh and at least one second mesh, determine portions of each identified mesh that intersect with a two-dimensional plane, and generate a two-dimensional drawing including a display of relevant dimensioning information based on the determined portions.

Abstract: One embodiment provides a parallel processor comprising a memory interface and a processing array coupled with the memory interface. The processing array is configured to address memory accessed via the memory interface via a virtual address mapping and includes circuitry to resolve a page fault for the virtual address mapping, wherein each of the multiple compute blocks is separately preemptable.

Abstract: A method and apparatus for rendering a computer-generated image using a stencil buffer is described. The method divides an arbitrary closed polygonal contour into first and higher level primitives, where first level primitives correspond to contiguous vertices in the arbitrary closed polygonal contour and higher level primitives correspond to the end vertices of consecutive primitives of the immediately preceding primitive level. The method reduces the level of overdraw when rendering the arbitrary polygonal contour using a stencil buffer compared to other image space methods. A method of producing the primitives in an interleaved order, with second and higher level primitives being produced before the final first level primitives of the contour, is described which improves cache hit rate by reusing more vertices between primitives as they are produced.

Abstract: User interfaces, systems, methods, devices, media, and instructions are described for a client/contractor management and communication system with augmented reality (AR) and/or virtual reality (VR) interface elements. In one embodiment, a device receives finish and inspiration information associated with a home improvement project from a client and structures this information into finish pin data with associated project context information and 3D model data. The device uses this information to automatically generate and update a project chart for the project, along with 3D models for various subproject positions within a project chart. This information is then presented to the client and associated contractors as part of a user interface for a client/contractor system. A project chart interface enables access to 3D models in an AR or VR interface to display models of the project and various project data associated with different positions in a project chart.

Abstract: A system (100) includes a computer readable storage medium (122) with computer executable instructions (124), including: a biophysical simulator component (126) configured to determine a fractional flow reserve index. The system further includes a processor (120) configured to execute the biophysical simulator component (126) to determine the fractional flow reserve index with spectral volumetric image data. The system further includes a display configured to display the determine fractional flow reserve index.

Abstract: The disclosure provides a display apparatus and an image scaling method. The display apparatus includes a display, configured to present a video image of a video layer and recommend information of a user layer, where the video image, in a region overlapped with an image display region in the user layer, in the video layer is visible; and a controller, configured to receive an instruction for enlarging the video image, where the image display region of the user layer is enlarged according to a first scaling rule; determine location information of the image display region, and generate a second scaling rule; and enlarge the video image in the video layer according to the second scaling rule.

Abstract: A method and an apparatus for text effect processing, an electronic device, and a computer readable storage medium. The method comprises: sending to a server a request to acquire a text effect resource, the text effect resource being used to implement a display effect of text associated with multimedia; receiving a text effect resource sent by the server; and on the basis of the text effect resource, performing effect processing on text, causing the text to be displayed on a terminal screen following playback progress of the multimedia, and gradually disappear from the terminal screen.

Abstract: An important aspect of augmented reality (AR) is that digital information, such as rendered images of AR scenes and objects, are integrated with the user's view of the real world in real time. However, transmitting large images over the network may negatively impact the real time aspect of the AR experience. Methods and systems for dynamic image compression based on perceived viewing distance are described herein. In some implementations, image compression of streaming AR content is based on real world distances of AR objects relative to a user or client device. In some implementations, image compression of streaming AR content is based on relative depth information. In some implementations, image compression of streaming AR content is based on a type of information or content associated with an AR object. The dynamic image compression based on perceived viewing distance provided by the systems and methods disclosed herein may also be applied to video codecs.

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: 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.