Abstract: Techniques for vector object blending are described to generate a transformed vector object based on a first vector object and a second vector object. A transformation module, for instance, receives a first vector object that includes a plurality of first paths and a second vector object that includes a plurality of second paths. The transformation module computes morphing costs based on a correspondence within candidate path pairs that include one of the first paths and one of the second paths. Based on the morphing costs, the transformation module generates a low-cost mapping of paths between the first paths and the second paths. To generate the transformed vector object, the transformation module adjusts one or more properties of at least one of the first paths based on the mapping, such as geometry, appearance, and z-order.

Abstract: The present disclosure relates to a group B adenovirus comprising a sequence of formula (I): 5?ITR-B1-BA-B2-BX-BB-BY-B3-3?ITR wherein: B1 is bond or comprises: E1A, E1B or E1A-E1B; BA comprises-E2B-L1-L2-L3-E2A-L4; B2 is a bond or comprises: E3; BX is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; BB comprises L5; BY is a bond or a DNA sequence comprising: a restriction site, one or more transgenes or both; B3 is a bond or comprises: E4; wherein at least one of BX or BY is not a bond, pharmaceutical compositions comprising the same and use of the viruses and compositions in treatment, particularly in the treatment of cancer. The disclosure also extends to plasmids and processes employed to prepare the said viruses.

Abstract: A visual lens system is described that identifies, automatically and without user intervention, digital tool parameters for achieving a visual appearance of an image region in raster image data. To do so, the visual lens system processes raster image data using a tool region detection network trained to output a mask indicating whether the digital tool is useable to achieve a visual appearance of each pixel in the raster image data. The mask is then processed by a tool parameter estimation network trained to generate a probability distribution indicating an estimation of discrete parameter configurations applicable to the digital tool to achieve the visual appearance. The visual lens system generates an image tool description for the parameter configuration and incorporates the image tool description into an interactive image for the raster image data. The image tool description enables transfer of the digital tool parameter configuration to different image data.

Abstract: Described herein are methods of preparing compounds derived from triglycerides or condensation polymers such as polyesters and/or polyamides. The methods may include subjecting triglyceride or condensation polymer containing matter to mechanical processing in the presence of a nucleophile.

Abstract: The present disclosure relates to compositions including monoglycerides and co-surfactants. An exemplary embodiment includes about 40 wt % to about 99 wt % of one or more monoglycerides of a C4-C28 fatty acid, about 0.1 wt % to about 20 wt % of one or more salts of a C4-C28 fatty acid, and about 0.1 wt % to about 20 wt % of one or more zwitterions.

Abstract: Embodiments are disclosed for reconstructing linear gradients from an input image that can be applied to another image. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a raster image, the raster image including a representation of a linear color gradient. The disclosed systems and methods further comprise determining a vector representing a direction of the linear color gradient. The disclosed systems and methods further comprise analyzing pixel points along the direction of the linear color gradient to compute color stops of the linear color gradient. The disclosed systems and methods further comprise generating an output color gradient vector with the computed color stops of the linear color gradient, the output color gradient vector to be applied to a vector graphic.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure receive a raster image depicting a radial color gradient; compute an origin point of the radial color gradient based on an orthogonality measure between a color gradient vector at a point in the raster image and a relative position vector between the point and the origin point; construct a vector graphics representation of the radial color gradient based on the origin point; and generate a vector graphics image depicting the radial color gradient based on the vector graphics representation.

Abstract: A personal hygienic system is configured to be portable and to be placed under a patient on a bed or reclined surface. The personal hygienic system comprises an inflatable shower comprising an outer wall that defines an inner space and surrounds a patient. At least one washing fluid can be applied to the patient in the inner space. The outer wall comprises folds discretizing stacked wall segments. The inner space defines a slope declining from an upper end toward a bottom end and a drain portion arranged at the bottom end. The drain portion defines a recess, an aperture located in the recess, a raised bottom lip bounding the recess proximate the bottom end, and at least one drain channel arranged on a side of the drain portion and configured to collect spent washing fluid from one or more side segments and corresponding folds of the inner space.

Abstract: Embodiments are disclosed for articulated part extraction using images of animated characters from sprite sheets by a digital design system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a plurality of images depicting an animated character in different poses. The disclosed systems and methods further comprise, for each pair of images in the plurality of images, determining, by a first machine learning model, pixel correspondences between pixels of the pair of images, and determining, by a second machine learning model, pixel clusters representing the animated character, each pixel cluster corresponding to a different structural segment of the animated character. The disclosed systems and methods further comprise selecting a subset of clusters that reconstructs the different poses of the animated character. The disclosed systems and methods further comprise creating a rigged animated character based on the selected subset of clusters.

Abstract: Compositions and coating mixtures for coating agricultural and other consumable products, and methods of preparing the compositions and coating mixtures.

Abstract: Embodiments are disclosed for articulated part extraction using images of animated characters from sprite sheets by a digital design system. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input including a plurality of images depicting an animated character in different poses. The disclosed systems and methods further comprise, for each pair of images in the plurality of images, determining, by a first machine learning model, pixel correspondences between pixels of the pair of images, and determining, by a second machine learning model, pixel clusters representing the animated character, each pixel cluster corresponding to a different structural segment of the animated character. The disclosed systems and methods further comprise selecting a subset of clusters that reconstructs the different poses of the animated character. The disclosed systems and methods further comprise creating a rigged animated character based on the selected subset of clusters.

Abstract: A visual lens system is described that identifies, automatically and without user intervention, digital tool parameters for achieving a visual appearance of an image region in raster image data. To do so, the visual lens system processes raster image data using a tool region detection network trained to output a mask indicating whether the digital tool is useable to achieve a visual appearance of each pixel in the raster image data. The mask is then processed by a tool parameter estimation network trained to generate a probability distribution indicating an estimation of discrete parameter configurations applicable to the digital tool to achieve the visual appearance. The visual lens system generates an image tool description for the parameter configuration and incorporates the image tool description into an interactive image for the raster image data. The image tool description enables transfer of the digital tool parameter configuration to different image data.

Abstract: Described herein are methods of preparing compounds derived from triglycerides or condensation polymers such as polyesters and/or polyamides. The methods may include subjecting triglyceride or condensation polymer containing matter to mechanical processing in the presence of a nucleophile.

Abstract: The present invention provides a method and system for controlling the temperature of an electric motor by adjusting the electric losses in the motor. In an embodiment, the required load on the motor is determined and a first motor voltage is provided to meet the required load. A predetermined temperature set point for the motor is compared against the temperature of the motor and based on the temperature of the motor and the predetermined temperature set point, a secondary motor voltage is determined. The motor voltage may then be adjusted based on the calculated voltage and the motor load measurement adjusted based on the measured motor speed and actual motor voltage.

Abstract: Semantic fill techniques are described that support generating fill and editing images from semantic inputs. A user input, for example, is received by a semantic fill system that indicates a selection of a first region of a digital image and a corresponding semantic label. The user input is utilized by the semantic fill system to generate a guidance attention map of the digital image. The semantic fill system leverages the guidance attention map to generate a sparse attention map of a second region of the digital image. A semantic fill of pixels is generated for the first region based on the semantic label and the sparse attention map. The edited digital image is displayed in a user interface.

Abstract: Vector object transformation techniques are described that support generation of a transformed vector object based on a first vector object and a second vector object. A plurality of paths for a first and second vector object, for instance, are generated. Corresponding paths are determined by detecting which of the plurality of paths from the first vector object correspond to which of the plurality of paths from the second vector object. A mapping of control points between the first and second vector objects is generated. Using the mapping, a transformation of the first vector object is generated by adjusting one or more control points of the first vector object. As a result, the transformed vector object includes visual characteristics based on both the first vector object and the second vector object.

Abstract: Vector object transformation techniques are described that support generation of a transformed vector object based on a first vector object and a second vector object. A plurality of paths for a first and second vector object, for instance, are generated. Corresponding paths are determined by detecting which of the plurality of paths from the first vector object correspond to which of the plurality of paths from the second vector object. A mapping of control points between the first and second vector objects is generated. Using the mapping, a transformation of the first vector object is generated by adjusting one or more control points of the first vector object. As a result, the transformed vector object includes visual characteristics based on both the first vector object and the second vector object.

Abstract: Embodiments are disclosed for reconstructing freeform gradients from an input image. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input image, computing an outline of the input image, identifying a set of candidate color handles for the input image, each candidate color handle of the set of candidate color handles representing an extremum point for a color in the input image, generating a reconstructed image using a subset of the set of candidate color handles, determining a reconstruction error by computing a difference between the input image and the reconstructed image, and providing the reconstructed image when the reconstruction error is below a threshold value.

Abstract: A computer-implemented method including receiving an input image at a first image stage and receiving a request to generate a plurality of variations of the input image at a second image stage. The method including generating, using an auto-regressive generative deep learning model, the plurality of variations of the input image at the second image stage and outputting the plurality of variations of the input image at the second image stage.