Abstract: A method can include embedding a discontinuity as an object in a three-dimensional hexahedral grid that includes hexahedral cells and represents a geologic environment; cutting a number of the hexahedral cells by intersecting the object and the three-dimensional hexahedral grid to identify cut cells; constructing a topological three-dimensional hexahedral grid using a topology for the cut cells that includes spatially overlapping hexahedral cells and associated cut cell-face links; and generating results that characterize the geologic environment with the discontinuity using a system of equations that represent the geologic environment and the topological three-dimensional hexahedral grid.

Abstract: Various implementations relate to methods, systems, and computer-readable media to generate view consistent textures for three-dimensional (3D) objects. In some implementations, a method includes generating a plurality of depth maps based on a 3D mesh of a 3D object, wherein each of the plurality of depth maps is associated with a respective view of the 3D object. The method further includes receiving a description of a texture and generating two or more views of a texture map for the 3D object with a generative machine-learning (genML) model. The plurality of depth maps and a text prompt based on the description are provided as input to the genML model. Each view of the texture map at least partially covers the 3D mesh. The method further includes combining the two or more views of the texture map based on the 3D mesh to obtain the texture map for the 3D object.

Abstract: An electronic apparatus including a user interface, a camera, a memory, and a processor. The electronic apparatus receives an input of a first user command for generating a map showing arrangement state of at least one device existing in a specific region, based on the first user command being input, obtains an image by capturing the specific region and the at least one device through a camera, obtains information associated with a size and a shape of the specific region based on the image, obtains identification information and arrangement information for the at least one device by recognizing the at least one device included in the image, and generates a map for the specific region based on the information on the size and the shape of the specific region and the identification information and the arrangement information for the at least one device.

Abstract: An image processor including an interface circuit configured to receive a plurality of images corresponding to a plurality of exposure times from an external sensor, and a high dynamic range (HDR) synthesis circuit configured to synthesize a first HDR image, based on a first image and a second image among the plurality of images, synthesize a second HDR image, based on a third image among the plurality of images and the first HDR image, apply a first weight including weight values respectively corresponding to pixels of the first HDR image to the first HDR image, and apply a second weight including weight values respectively corresponding to pixels of the third image to the third image to synthesize the second HDR image.

Abstract: This application relates to an image acquisition method performed by a computer device. The method includes: displaying a mapping pattern corresponding to a key area of a target part of a target object in response to a pattern display operation triggered by the target object; changing a display state of the currently displayed mapping pattern when a relative position of the target part relative to an image acquisition element changes; and acquiring a key area image of the target part contactlessly by using the image acquisition element when the currently displayed mapping pattern matches a preset recognition pattern.

Abstract: Techniques are described for training a machine learning (ML) model is learn compression errors for various compression modes of BC7 given an input set of features that depend on per-channel pixel value ranges in a BC7 block.

Abstract: System and method that includes: receiving a 3D textured model of a part that includes inspection data collected for an industrial process associated with the part; tracking a viewing perspective of a user relative to a reference part; generating pose data based on the tracked viewing perspective; rendering an image that includes inspection data from a 3D textured model based on the generated pose data.

Abstract: Provided are an image processing method and an image processing apparatus. The image processing method includes obtaining scan data by scanning an object including a hole, obtaining at least one parameter for recognizing an inner region of the hole from the scan data, and recognizing the inner region of the hole from the scan data based on the obtained at least one parameter.

Abstract: The present invention relates to a system and method of providing a digital asset marketplace. In particular, the present invention relates to facilitating buying and selling of Non-Fungible Tokens (NFTs) by providing NFT owners with a means of showcasing and offering their NFTs for purchase in a preferred location or space, and similarly, providing potential purchasers with the ability to locate, view and purchase or trade NFTs according to their preferences.

Abstract: An example device for decoding point cloud data includes a memory configured to store point cloud data; and one or more processors implemented in circuitry and configured to: determine a number of times to upscale a downscaled encoded representation of a point cloud geometry; decode the downscaled encoded representation of the point cloud geometry; upscale the downscaled representation of the point cloud geometry the number of times to form an upscaled representation of the point cloud geometry; and reproduce a point cloud using the upscaled representation of the point cloud geometry.

Abstract: Described herein is a method to segment meshes into sub-meshes based on triangle properties. The triangles are first classified according to some characteristic using their respective areas. A filtering process may change the classification according to the neighboring triangles. Then connected components are generated, and neighboring connected components are merged following a certain criteria. In some embodiments, connected components that share the most amount of edges are merged. With this technique, sub-meshes can be automatically generated without any previous knowledge of the mesh generation stage.

Abstract: A method, performed by a health management server, for evaluating a health condition by using a skeleton model. In detail, the method comprises the steps of: providing, to a user apparatus, a standard motion image of a trainer performing a standard motion; receiving, from the user apparatus, a user motion image of a user motion performed by a user following the standard motion; calculating a similarity between the standard motion and the user motion by comparing the standard motion image with the user motion image; and evaluating a health condition of the user on the basis of the calculated similarity.

Abstract: Example devices, systems, and techniques are described. An example technique includes determining that resampling is to be applied to a first reference frame for a slice of point cloud data or a frame of the point cloud data. The technique includes applying resampling to the first reference frame to generate a resampled reference frame. The technique includes determining one or more inter prediction candidates based on the resampled reference frame. The technique includes processing the slice of the point cloud data or the frame of the point cloud data based on the one or more inter prediction candidates.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating compressed representations of synthetic images. One of the methods is a method of generating a synthetic image using a generative neural network, and includes: generating, using the generative neural network, a plurality of coefficients that represent the synthetic image after the synthetic image has been encoded using a lossy compression algorithm; and decoding the synthetic image by applying the lossy compression algorithm to the plurality of coefficients.

Abstract: An online system generates images for collections of items using an image generation model. To ensure a generated image accurately reflects a collection of items, the online system determines a type of the collection and selects a template including evaluation questions associated with the determined type. Evaluation questions are curated to determine accuracy of the content of a generated image for the collection. By applying a visual learning model to the questions in the selected template and the generated image, the online system identifies discrepancies between the image and the collection of items from the output of the vision language model. Subsequently, the online system prompts the image generation model to create an updated image for the collection that does not include the identified discrepancies. The online system may repeat the discrepancy identification and image modification until no discrepancies are found in the generated image.

Abstract: Information is received by one or more servers regarding a plurality of components of a virtual environment to be presented for display by a remote client device. A set of remote rendering prioritization values, indicating a degree of prioritization for rendering individual components of the plurality of components by the one or more server computing devices, is determined based on the received information. Based on the set of remote rendering prioritization values, a partial scene of the virtual environment is generated at the one or more servers by rendering a set of first components of the plurality of components. The generated partial scene of the virtual environment is transmitted to the remote client device for compositing with a set of second components of the plurality of components to be rendered by the remote client device.

Abstract: A method of encoding a mesh includes determining a symmetry plane that divides the mesh into a first side and a second side opposite the first side, the mesh comprising a plurality of vertices, the first side comprising a first set of vertices, the second side comprising a second set of vertices; determining, for each vertex in the first set, a predicted vertex on the second side that is symmetric to a corresponding vertex in the first set; determining a transformation function that transforms each predicted vertex on the second side, the transformation function determined in accordance with a loss function; applying the transformation function that transforms each predicted vertex on the second side; determining a displacement vector between each transformed predicted vertex and a corresponding vertex in the second set; and generating a bitstream that comprises each encoded vertex in the first set and each displacement vector.

Abstract: In an embodiment, a neuroimager alignment and coupling evaluation (NACE) system, includes a neuroimaging device; a fiducial affixed to the neuroimaging device; an imaging device; and an augmented reality (AR) module coupled to the imaging device and configured to provide alignment data for the neuroimaging device by tracking facial or cranial landmarks and the fiducial.

Abstract: A single image deblurring method via vertical and horizontal decomposition includes receiving, by an input unit of a deblurring network system, a single image; extracting, by an encoder, features from the received single image; decoding, by a horizontal decoder, the features provided from the encoder using a first convolution kernel to generate a first residual image; decoding, by a vertical decoder, the features provided from the encoder using a second convolution kernel generated by rotating the first convolution kernel to generate a second residual image; and synthesizing, by a synthesis unit, the first residual image and the second residual image into the received single image to generate a deblurred image.

Abstract: A method comprises displaying, on a graphical user interface (GUI), a first data visualization comprising a positional representation of a plurality of reaction sites from at least a portion of a substrate, wherein the positional representation of the first data visualization simultaneously indicates relative data quality of the plurality of reaction sites; and altering the first data visualization displayed on the GUI to a second data visualization, the second data visualization comprising the positional representation of the plurality of reaction sites from the at least the portion of the substrate, wherein the positional representation of the second data visualization simultaneously indicates relative data quality of the plurality of reaction sites from at least the portion of the substrate based on a comparison of the data quality values of the plurality of reaction sites an adjusted quality value threshold.