Abstract: A three-dimensional (3D) model of a person may be obtained using a pre-trained neural network based on one or more images of the person. Such a model may be subject to estimation bias and/or other types of defects or errors. Described herein are systems, methods, and instrumentalities for refining the 3D model and/or the neural network used to generate the 3D model. The proposed techniques may extract information such as key body locations and/or a body shape from the images and refine the 3D model and/or the neural network using the extracted information. In examples, the 3D model and/or the neural network may be refined by minimizing a difference between the key body locations and/or body shape extracted from the images and corresponding key body locations and/or body shape determined from the 3D model. The refinement may be performed in an iterative and alternating manner.

Abstract: A remote device utilizes ray tracing to compute a light field for a scene to be rendered, where the light field includes information about light reflected off surfaces within the scene. This light field is then compressed utilizing one or more video compression techniques that implement temporal reuse, such that only differences between the light field for the scene and a light field for a previous scene are compressed. The compressed light field data is then sent to a client device that decompresses the light field data and uses such data to obtain the light field for the scene at the client device. This light field is then used by the client device to compute global illumination for the scene. The global illumination may be used to accurately render the scene at the mobile device, resulting in a realistic scene that is presented by the mobile device.

Abstract: A graphics processing system performs hidden surface removal and texturing/shading on fragments of primitives. The system includes a primary depth buffer (PDB) for storing depth values of resolved fragments, and a secondary depth buffer (SDB) for storing depth values of unresolved fragments. Incoming fragments are depth tested against depth values from either the PDB or the SDB. When a fragment passes a depth test, its depth value is stored in the PDB if it is a resolved fragment (e.g. if it is opaque or translucent), and its depth value is stored in the SDB if it is an unresolved fragment (e.g. if it is a punch through fragment). This provides more opportunities for subsequent opaque objects to overwrite punch through fragments which passed a depth test, thereby reducing unnecessary processing and time which may be spent on fragments which ultimately will not contribute to the final rendered image.

Abstract: Systems, apparatuses, and methods for implementing kernel software driven color remapping of rendered primary surfaces are disclosed. A system includes at least a general processor, a graphics processor, and a memory. The general processor executes a user-mode application, a user-mode driver, and a kernel-mode driver. A primary surface is rendered on the graphics processor on behalf of the user-mode application. The primary surface is stored in memory locations allocated for the primary surface by the user-mode driver and the kernel-mode driver is notified when the primary surface is ready to be displayed. Rather than displaying the primary surface, the kernel-mode driver causes the pixels of the primary surface to be remapped on the graphics processor using a selected lookup table (LUT) so as to generate a remapped surface which stored in memory locations allocated for the remapped surface by the user-mode driver. Then, the remapped surface is displayed.

Abstract: Aspects of the subject disclosure may include, for example, network deployment or radio-propagation computation based on a combination of photon mapping and machine learning including supporting near-real-time computation of the radio transmissions for different layouts of antennas and allowing examination of a large variety of antenna locations and layouts, changing configuration details, e.g., tilting antennas or optimally selecting the sector that each antenna covers, and so on. Other embodiments are disclosed.

Abstract: Apparatus and method for a hierarchical beam tracer.

Abstract: A computer-implemented method of machine-learning including obtaining an architecture for a neural network which is configured to take as an input a 2D sketch, and to output a 3D model represented by the 2D sketch. The 3D model is a parameterized 3D model defined by a set of parameters consisting of a first subset of one or more parameters and a second subset of one or more parameters. The neural network is configured to selectively output a value for the set and take as input a value for the first subset from a user and output a value for the second subset. The method of machine-learning also includes teaching the neural network.

Abstract: A geographical area, which forms an area to be represented by a model of at least a portion of a scenery, is defined. A plurality of new images depicting the scenery is received. The plurality of new images is acquired by a camera from one or more positions within the geographical area. It is determined whether the plurality of new images fulfill a pre-defined updating criterion. In response to a determination that the plurality of new images fulfills the updating criterion, an update of the model is initiated. A boundary area enclosing the plurality of new images is defined. The boundary area is defined based at least in part on a distance margin between an edge of the boundary area and a new image included in the plurality of new images that is closest to the edge of the boundary area.

Abstract: Systems, methods and instructions for creating building models of physical structures is disclosed. The building model may be a collection of floors defined by outlines containing regions that may be offset relative to a main region, and a collection of connectors. Connectors may have connection points for tracking, routing and sizing. Connectors may indicate elevation changes through georeferenced structural features. Signal elements may also be features that provide corrections when tracking. Feature descriptors are data that describes the structural configuration and signal elements enabling them to be matched to previously collected data in a database. User interface elements assist a user of a tracking device in collecting floor information, structural features and signal features and validating certain collected information based on previously known information. The height of floors may also be inferred based on sensor data from the tracking device.

Abstract: A computing device according to an embodiment includes one or more processors, a memory storing one or more programs executed by the one or more processors, a standby state image generating module configured to generate a standby state image in which a person is in a standby state, and generate a back-motion image set including a plurality of back-motion images at a preset frame interval from the standby state image for image interpolation between a preset reference frame of the standby state image, a speech state image generating module configured to generate a speech state image in which a person is in a speech state based on a source of speech content, and an image playback module configured to generate a synthetic speech image by combining the standby state image and the speech state image while playing the standby state image.

Abstract: Methods and systems disclosed herein relate generally to surface-rendering neural networks to represent and render a variety of material appearances (e.g., textured surfaces) at different scales. The system includes receiving image metadata for a texel that includes position, incoming and outgoing radiance direction, and a kernel size. The system applies a offset-prediction neural network to the query to identify an offset coordinate for the texel. The system inputs the offset coordinate to a data structure to determine a feature vector for the texel of the textured surface. The reflectance feature vector is then processed using a decoder neural network to estimate a light-reflectance value of the texel, at which the light-reflectance value is used to render the texel of the textured surface.

Abstract: An end-to-end virtual object animation generation method includes receiving input information, where the input information includes text information or audio information of a virtual object animation to be generated; converting the input information into a pronunciation unit sequence; performing a feature analysis of the pronunciation unit sequence to obtain a corresponding linguistic feature sequence; and inputting the linguistic feature sequence into a preset timing mapping model to generate the virtual object animation based on the linguistic feature sequence.

Abstract: Embodiments provide systems and methods for three-dimensional building generation from machine learning and topological models. The method uses topology models that are converted into vertices and edges. A BGAN (Building generative adversarial network) is used to create fake vertices/edges. The BGAN is then used to generate random samples from seen sample of different structures of building based on relationship of vertices and edges. The embeddings are then fed into a machine trained network to create a digital structure from the image.

Abstract: A system, method and computer application to log signal egress (leakage signal) readings from a test instrument during a “walkout” mode where the technician and test instrument have left a vehicle and troubleshooting is being performed on foot. A unique troubleshooting and discovery dataset is created and capable of revealing problems not previously discoverable using vehicle mounted test instruments. In addition, the dataset may be used for quality control and other purposes such as e.g., providing a report or mapping of the path the technician used during the troubleshooting process. Augmented reality features may also be displayed on the technician's mobile device to facilitate finding the source of one or more leaks.

Abstract: The present disclosure provides a method and apparatus of displaying an image, an electronic device and a storage medium. The method includes: obtaining a preset number of candidate sub-images by segmenting a to-be-displayed first candidate image; assigning each of the candidate sub-images to a corresponding first image sub-template in a preset first image template sequentially, where a number of the first image sub-templates is equal to a number of the candidate sub-images; adjusting each of the first image sub-templates in the first image template such that the first candidate image displays a preset animation effect, where the preset animation effect is obtained from configuration information of an electronic device.

Abstract: A system for providing a 3D representation of a desired structure on a selected property. A processing arrangement receives a property indication of the selected property. At least one converter converts the property indication to a format representing a 3D graphical representation of the selected property. A mapper maps the selected property to a largest available polygon that will fit on the selected property. The system determines a resultant polygon from the largest available polygon based on local restrictions for the selected property. A user selects the desired structure from available structures and orients the desired structure on the resultant polygon at a permissible orientation. A renderer renders the desired structure on the selected property in 3D graphical form. As a result, users can observe the house at different angles around the property, configure the structure with desired external design features, and view the result on the selected property.

Abstract: Systems and methods configured to determine appearance of woven and knitted textiles at the ply-level are presented herein. Exemplary embodiments may: obtain an input pattern of a textile, the input pattern comprising a two-dimensional weave pattern; obtain appearance information, the appearance information including one or more of color, transparency, or roughness; determine ply curve geometry based on ply-level fiber details making up individual plys; generate an image simulating an appearance of the textile based on the two-dimensional weave pattern, the appearance information, and the ply curve geometry so that the image simulating the appearance of the textile takes into account the ply-level fiber details; and/or perform other operations.

Abstract: A system comprising; analyzing a building model, wherein a set of roof trusses are isolated from other assemblies; processing a first set of data associated with the coordinates of the roof trusses; processing a second set of data associated with the assembly of the roof trusses; creating a set of data associated with the assembly of the roof truss and the coordinates of a set of roof truss members; formulating an assembly of the roof truss, wherein the assembly is a predetermined organization of the roof trusses based on the first set of data and the second set of data; calculating the assembly based on a set of limitations, wherein the limitations are based on the shipping vessel; manipulating the assembly, wherein the manipulated assembly is within the limitations of the shipping vessel; and generating a graphical representation of the manipulated assembly.

Abstract: A system comprising; analyzing a building model, wherein a set of floor joists are isolated from other assemblies; processing a first set of data associated with the coordinates of the floor joists; processing a second set of data associated with the assembly of the floor joists; creating a set of data associated with the assembly of the floor joist and the coordinates of a set of floor joist members; formulating an assembly of the floor joist, wherein the assembly is a predetermined organization of the floor joists based on the first set of data and the second set of data; calculating the assembly based on a set of limitations, wherein the limitations are based on the shipping vessel; manipulating the assembly, wherein the manipulated assembly is within the limitations of the shipping vessel; and generating a graphical representation of the manipulated assembly.

Abstract: An apparatus for rendering a visual scene includes: a content visualization stage configured: to obtain as a first input a set of images of one or more objects, and to obtain as a second input a geometry representation of the one or more objects in a 3D-space; to obtain a final image representing the visual scene from a perspective of a target position, the visual scene including the one or more objects; to consider at least one of a lighting effect and/or an object interaction effect between the one or more objects and one or more further objects contained in the visual scene; the content visualization stage is configured to obtain a target view image from the set of images irrespective of the geometry representation. The apparatus is configured to map the target view image on the geometry representation under consideration of the target position.