Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating modified digital designs in a target aspect ratio. In some embodiments, the disclosed systems utilize a transformer neural network to encode, from a digital design in an initial aspect ratio depicting one or more design elements, an input feature representation including tokenizations of the one or more design elements, an initial aspect ratio token, and a target aspect ratio token. In some embodiments, the disclosed systems utilize a transformer neural network to transform the input feature representation into an output feature representation including a modified tokenization of the one or more design elements according to the target aspect ratio. In some embodiments, the disclosed systems generate a modified digital design depicting one or more design elements according to the target aspect ratio utilizing the transformer neural network based on the output feature representation.

Abstract: A method, apparatus, non-transitory computer readable medium, and system for performing real-time image segmentation includes obtaining an image depicting a first object and a second object. Embodiments then generate, using an object detection model, a first location and a second location corresponding to the first object and the second object, respectively. The location may be, for example, a bounding box circumscribing the object or a point defining a centroid of the object. Embodiments then segment, using a segmentation model, the image based on the first location and the second location to obtain a first mask corresponding to the first object and a second mask corresponding to the second object.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining semantically relevant sets of objects in vector images. The disclosed system generates one or more group masks corresponding to user-tagged groups of objects in a vector image by executing a search on a vector hierarchy of the vector image. The disclosed system determines, from the one or more group masks, a group mask comprising a semantically relevant set of objects based on semantic information from one or more segmentation masks comprising a plurality of semantic segmentations generated utilizing one or more segmentation neural networks. Additionally, the disclosed system extracts, from the group mask, one or more masks corresponding to the semantically relevant set of objects.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that provide that provide processes and a graphical user interface tailored to organize vector geometry within a vector image into a hierarchical structure based on layered semantic groups. In particular, in one or more embodiments, the disclosed systems determine, using an object segmentation model, a set of masks corresponding to objects depicted within a raster image. The disclosed systems determine an intersection between a first mask and a second mask from among the set of masks. The disclosed systems generate a hierarchical semantic structure comprising a set of nodes corresponding to the set of masks by generating a first node for the first mask and a second node for the second mask arranged according to the intersection. The disclosed systems generate a vector image from the raster image according to the hierarchical semantic structure.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that provide a graphical review interface for curating, reviewing, and approving digital design element variants utilizing multistate vector objects within a digital image. The disclosed systems generate, in response to a user interaction performed at a designer device, a digital image comprising a multistate vector object modifiable to depict variants of a graphical element within the digital image. Further, the disclosed systems provide the digital image for display within a variant review interface on a client device for reviewing the variants of the graphical element. Moreover, the disclosed systems receive, from the client device, an indication of a selected variant from among the variants indicated by the multistate vector object.

Abstract: Methods and systems are provided for automated inference and evaluation of design relations for elements of a design. In embodiments described herein, a change, related to a type of design relation, is received to an element of a plurality of elements of a design. A corresponding type of design relation between the element and a different element of the plurality of elements is determined from a knowledge graph based on the type of design relation related to the change. A corresponding change is automatically applied to the different element based on the corresponding type of design relation between the element and the different element.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer readable media that provide a graphical review interface for curating, reviewing, and approving digital design element variants utilizing multistate vector objects within a digital image. The disclosed systems generate, in response to a user interaction performed at a designer device, a digital image comprising a multistate vector object modifiable to depict variants of a graphical element within the digital image. Further, the disclosed systems provide the digital image for display within a variant review interface on a client device for reviewing the variants of the graphical element. Moreover, the disclosed systems receive, from the client device, an indication of a selected variant from among the variants indicated by the multistate vector object.

Abstract: Techniques are described for selective extraction of color attributes from digital images that overcome the challenges experienced in conventional systems for color extraction. In an implementation, a user applies a region selector to a source image to select a portion of the source image for color attribute extraction. A graphics editing system identifies a selected region of the source image as well as visual objects of the source image included as part of the selected region. The graphics editing system iterates through the selected visual objects and extracts color attributes from the visual objects, such as color values, patterns, gradients, gradient stops, opacity, color area, and so forth. The graphics editing system then generates a color palette that includes the extracted color attributes, and the color palette is able to be utilized for various image editing tasks, such as digital image creation and transformation.

Abstract: Embodiments are disclosed for identify a proportional dominant color palette of a vector graphics content and recolor the vector graphics content by editing the proportional dominant color palette. In particular, one method comprises obtaining a vector graphic, determining, by a palette extraction manager, a plurality of colors from the vector graphic, grouping, by the palette extraction manager, the plurality of colors into a plurality of groups based on color characteristics, determining, by the palette extraction manager, a plurality of dominant colors corresponding to the plurality of groups based on a subset of the plurality of colors associated with each group, determining, by the palette extraction manager, a plurality of weights corresponding to the plurality of colors, and generating, by the palette extraction manager, a proportional dominant color palette for the vector graphic based on the plurality of dominant colors and the corresponding plurality of weights.

Abstract: Embodiments are disclosed for identify a proportional dominant color palette of a vector graphics content and recolor the vector graphics content by editing the proportional dominant color palette. In particular, one method comprises obtaining a vector graphic, determining, by a palette extraction manager, a plurality of colors from the vector graphic, grouping, by the palette extraction manager, the plurality of colors into a plurality of groups based on color characteristics, determining, by the palette extraction manager, a plurality of dominant colors corresponding to the plurality of groups based on a subset of the plurality of colors associated with each group, determining, by the palette extraction manager, a plurality of weights corresponding to the plurality of colors, and generating, by the palette extraction manager, a proportional dominant color palette for the vector graphic based on the plurality of dominant colors and the corresponding plurality of weights.

Abstract: Techniques are described for selective extraction of color attributes from digital images that overcome the challenges experienced in conventional systems for color extraction. In an implementation, a user applies a region selector to a source image to select a portion of the source image for color attribute extraction. A graphics editing system identifies a selected region of the source image as well as visual objects of the source image included as part of the selected region. The graphics editing system iterates through the selected visual objects and extracts color attributes from the visual objects, such as color values, patterns, gradients, gradient stops, opacity, color area, and so forth. The graphics editing system then generates a color palette that includes the extracted color attributes, and the color palette is able to be utilized for various image editing tasks, such as digital image creation and transformation.