Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately and flexibly generating scalable and semantically editable font representations utilizing a machine learning approach. For example, the disclosed systems generate a font representation code from a glyph utilizing a particular neural network architecture. For example, the disclosed systems utilize a glyph appearance propagation model and perform an iterative process to generate a font representation code from an initial glyph. Additionally, using a glyph appearance propagation model, the disclosed systems automatically propagate the appearance of the initial glyph from the font representation code to generate additional glyphs corresponding to respective glyph labels. In some embodiments, the disclosed systems propagate edits or other changes in appearance of a glyph to other glyphs within a glyph set (e.g., to match the appearance of the edited glyph).

Abstract: A coverboard panel may include a first facer layer including a non-porous synthetic polymer, a core layer, and a second facer layer, wherein the core layer is disposed between the first facer layer and the second facer layer, and wherein the coverboard panel is configured to be installed with the first facer layer bonded to a membrane.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for automatically detecting and reconstructing patterns in digital images. The disclosed system determines structurally similar pixels of a digital image by comparing neighborhood descriptors that include the structural context for neighborhoods of the pixels. In response to identify structurally similar pixels of a digital image, the disclosed system utilizes non-maximum suppression to reduce the set of structurally similar pixels to collinear pixels within the digital image. Additionally, the disclosed system determines whether a group of structurally similar pixels define the boundaries of a pattern cell that forms a rectangular grid pattern within the digital image. The disclosed system also modifies a boundary of a detected pattern cell to include a human-perceived pattern object via a sliding window corresponding to the pattern cell.

Abstract: Disclosed herein is a roof cover board and a method of manufacturing an improved cover board product. The method includes receiving waste materials or first use materials, the waste materials or first use materials containing a mixture of cellulose, plastic and other materials; separating the cellulose and the plastic from the mixture; shredding the separated cellulose using a first shredder into a stream of cellulose and shredding the separated plastic using a second shredder into a stream of plastic; selecting a cellulose to plastic ratio from a plurality of cellulose to plastic ratios; metering shredded cellulose from the stream of cellulose and shredded plastic from the stream of plastic according to the selected cellulose to plastic ratio; mixing the metered shredded cellulose and plastic; forming said mixture into a mat; and consolidating the mat into a finished good using heat and pressure.

Abstract: An information preservation and conveyance system for providing information and effects to intelligent creatures in the future. The system provides durable containers with components secured inside and durable structure components, such as building bricks for example, mountable to a durable building, pyramid, or other structure, with at least one structure component having external surface information readable by a human. Higher density durable information providing components may be secured inside a durable container by resilient devices to absorb impact forces. Durable optical magnifier pictographic instructions and an optical magnifier or projector may be secured by durable containers, which can have a container opener durably mounted to exposed sections on the durable containers. The durable containers can contain audio generation apparatus, which optionally may teach a language, and any of a wide variety of types of information and articles of possible interest and value to a discoverer in the future.

Abstract: Embodiments of an expansion joint are provided. The expansion joint is configured to cover a gap between a first architectural surface and a second architectural surface. The expansion joint includes a panel having a first surface and a second surface in which the second surface is opposite the first surface. When the panel covers the gap, the panel is magnetically connected to both of the first architectural surface or the second architectural surface. In specific embodiments, at least one of the magnetic structures that magnetically connect the panel to both of the first architectural surface or the second architectural surface is allowed to move in response to movement of the panel. In more specific embodiments, the movement of the magnetic structure is a tilting movement.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that merge separate digital point text objects into a single merged digital text object while preserving the properties and original visual appearance associated with the digital text included therein. For example, the disclosed systems can determine point text character properties associated with the separate digital point text objects (e.g., rotations, baseline shifts, etc.). The disclosed systems can merge the separate digital point text objects into a single merged digital point text object and modify associated font character properties to reflect the determined point text character properties. Further, the disclosed systems can generate an area text object based on the merged digital point text object where the area text object includes the digital text and the font character properties.

Abstract: According to one example, an exercise system includes a vertical housing, a first weight system coupled to a first upper weighted touchpoint, a second weight system coupled to a second upper weighted touchpoint, a third weight system coupled to a first lower weighted touchpoint, and a fourth weight system coupled to a second lower weighted touchpoint. The exercise system further includes a control system that is configured to cause the first weight system to provide weight to the first upper weighted touchpoint independent of each of the second, third, and fourth weight systems, and cause the third weight system to provide weight to the first lower weighted touchpoint independent of each of the first, second, and fourth weight systems. The first upper weighted touchpoint and the first lower weighted touchpoint may allow the user to exercise the first arm and the first leg of the user simultaneously.

Abstract: Techniques for generating a stylized drawing of three-dimensional (3D) shapes using neural networks are disclosed. A processing device generates a set of vector curve paths from a viewpoint of a 3D shape; extracts, using a first neural network of a plurality of neural networks of a machine learning model, surface geometry features of the 3D shape based on geometric properties of surface points of the 3D shape; determines, using a second neural network of the plurality of neural networks of the machine learning model, a set of at least one predicted stroke attribute based on the surface geometry features and a predetermined drawing style; generates, based on the at least one predicted stroke attribute, a set of vector stroke paths corresponding to the set of vector curve paths; and outputs a two-dimensional (2D) stylized stroke drawing of the 3D shape based at least on the set of vector stroke paths.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media for accurately and flexibly generating scalable fonts utilizing multi-implicit neural font representations. For instance, the disclosed systems combine deep learning with differentiable rasterization to generate a multi-implicit neural font representation of a glyph. For example, the disclosed systems utilize an implicit differentiable font neural network to determine a font style code for an input glyph as well as distance values for locations of the glyph to be rendered based on a glyph label and the font style code. Further, the disclosed systems rasterize the distance values utilizing a differentiable rasterization model and combines the rasterized distance values to generate a permutation-invariant version of the glyph corresponding glyph set.

Abstract: According to one example, an exercise system includes a vertical housing, a first weighted touchpoint coupled to the vertical housing and configured to allow a user to exercise one or more muscles on a first side of the user, a first weight system coupled to the first weighted touchpoint, a second weighted touchpoint coupled to the vertical housing and configured to allow the user to exercise one or more muscles on a second side of the user, and a second weight system coupled to the second weighted touchpoint. The exercise system further includes a control system configured to cause the first weight system to automatically provide a first heavier weight to the first weighted touchpoint for a first exercise and further cause the second weight system to automatically provide a second lighter weight to the second weighted touchpoint for the first exercise.

Abstract: Systems, methods, and non-transitory computer-readable media are disclosed for determining a glyph and a font from a vector outline by applying various combinations of hash-based querying, path-descriptor matching, or anchor-point matching. For example, the disclosed systems can select a subset of candidate glyphs for a vector outline based on (i) comparing hash keys of candidate glyphs with a point-order-agnostic hash key corresponding to the vector outline and (ii) comparing a path descriptor for a primary path of the vector outline to path descriptors corresponding to candidate glyphs. By further comparing anchor points between the vector outline and the subset of candidate glyphs, the disclosed systems can select both a glyph and a font matching the vector outline.

Abstract: Techniques described herein take character glyphs as input and generate a text-on-a-path text object that includes the character glyphs arranged in a determined order along a path. For instance, a method described herein includes accessing character glyphs in input data. The method further includes determining an order for the character glyphs based on relative positions and orientations of the character glyphs in the input data. The method further includes generating a path for the character glyphs, based on the order, and associating the path with the character glyphs. Further, the method includes generating a text object that includes the set of character glyphs arranged in the order along the path.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a critical edge detection neural network and a geometric model to determine camera parameters from a single digital image. In particular, in one or more embodiments, the disclosed systems can train and utilize a critical edge detection neural network to generate a vanishing edge map indicating vanishing lines from the digital image. The system can then utilize the vanishing edge map to more accurately and efficiently determine camera parameters by applying a geometric model to the vanishing edge map. Further, the system can generate ground truth vanishing line data from a set of training digital images for training the critical edge detection neural network.

Abstract: Embodiments of an expansion joint are provided. The expansion joint is configured to cover a gap between a first architectural surface and a second architectural surface. The expansion joint includes a panel having a first surface and a second surface in which the second surface is opposite the first surface. When the panel covers the gap, the panel is magnetically connected to both of the first architectural surface or the second architectural surface. In specific embodiments, at least one of the magnetic structures that magnetically connect the panel to both of the first architectural surface or the second architectural surface is allowed to move in response to movement of the panel. In more specific embodiments, the movement of the magnetic structure is a tilting movement.

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

Abstract: Certain aspects involve video inpainting in which content is propagated from a user-provided reference frame to other video frames depicting a scene. For example, a computing system accesses a set of video frames with annotations identifying a target region to be modified. The computing system determines a motion of the target region's boundary across the set of video frames, and also interpolates pixel motion within the target region across the set of video frames. The computing system also inserts, responsive to user input, a reference frame into the set of video frames. The reference frame can include reference color data from a user-specified modification to the target region. The computing system can use the reference color data and the interpolated motion to update color data in the target region across set of video frames.

Abstract: Aspects of the current disclosure include systems and methods for identifying an entity in a query image by comparing the query image with digital images in a database. In one or more embodiments, a query feature may be extracted from the query image and a set of candidate features may be extracted from a set of images in the database. In one or more embodiments, the distances between the query feature and the candidate features are calculated. A feature, which includes a set of shortest distances among the calculated distances and a distribution of the set of shortest distances, may be generated. In one or more embodiments, the feature is input to a trained model to determine whether the entity in the query image is the same entity associated with one of the set of shortest distances.

Abstract: According to one example, an exercise system includes a vertical housing, a first weight system coupled to a first upper weighted touchpoint, a second weight system coupled to a second upper weighted touchpoint, a third weight system coupled to a first lower weighted touchpoint, and a fourth weight system coupled to a second lower weighted touchpoint. The exercise system further includes a control system that is configured to cause the first weight system to provide weight to the first upper weighted touchpoint independent of each of the second, third, and fourth weight systems, and cause the third weight system to provide weight to the first lower weighted touchpoint independent of each of the first, second, and fourth weight systems. The first upper weighted touchpoint and the first lower weighted touchpoint may allow the user to exercise the first arm and the first leg of the user simultaneously.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for utilizing a multi-stroke neural network for modifying a digital image via a plurality of generated stroke parameters in a single pass of the neural network. Specifically, the disclosed system utilizes an encoder neural network to generate an encoding of a digital image. The disclosed system then utilizes a decoder neural network that generates a sequence of stroke parameters for digital drawing strokes from the encoding in a single pass of the encoder neural network and decoder neural network. Additionally, the disclosed system utilizes a renderer neural network to render the digital drawing strokes on a digital canvas according to the sequence of stroke parameters. In additional embodiments, the disclosed system utilizes a balance of loss functions to learn parameters of the multi-stroke neural network to generate stroke parameters according to various rendering styles.