Abstract: Techniques of generating curves in drawing applications involve generating rational interpolating curves in response input points being specified on a display such that the rational interpolating curves have an adjustable sharpness at each of the input points. Along these lines, a user specifies control points of a curve in a drawing application by, e.g., moving these control points on a display. In response, a computer running the drawing application generates a rational interpolating curve that intersects the input points such that the curvature of each curve at its input point is a local maximum and such that the user's sharpness values change the roundness of the curve around corresponding control points.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.

Abstract: Techniques of generating curves in drawing applications involve generating rational interpolating curves in response input points being specified on a display such that the rational interpolating curves have an adjustable sharpness at each of the input points. Along these lines, a user specifies control points of a curve in a drawing application by, e.g., moving these control points on a display. In response, a computer running the drawing application generates a rational interpolating curve that intersects the input points such that the curvature of each curve at its input point is a local maximum and such that the user's sharpness values change the roundness of the curve around corresponding control points.

Abstract: Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.

Abstract: Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: The present disclosure is directed to generating enhanced curves that are aesthetically pleasing. To create enhanced a curve that is aesthetically pleasing, a curve enhancement system uses non-uniformly scaled cubic variation of curvature (CVC) curves. For example, the curve enhancement system non-uniformly scales a curve in a spline. Based on the scaling, the curve enhancement system can generate CVC curves having the desired end point constraints. Then, using the end point constraints, the curve enhancement system can inversely downscale the non-uniform scaled curve while maintaining the end point constraints from the CVC curves to achieve an enhanced curve in the spline.

Abstract: Embodiments of the present invention are directed to beautifying freeform input paths in accordance with paths existing in the drawing (i.e., resolved paths). In some embodiments of the present invention, freeform input paths of a curved format can be modified or replaced to more precisely illustrate a path desired by a user. As such, a user can provide a freeform input path that resembles a path of interest by the user, but is not as precise as desired. Based on existing paths in the electronic drawing, a path suggestion(s) can be generated to rectify, modify, or replace the input path with a more precise path. In some cases, a user can then select a desired path suggestion, and the selected path then replaces the initially provided freeform input path.

Abstract: The present disclosure is directed to generating enhanced curves that are aesthetically pleasing. To create enhanced a curve that is aesthetically pleasing, a curve enhancement system uses non-uniformly scaled cubic variation of curvature (CVC) curves. For example, the curve enhancement system non-uniformly scales a curve in a spline. Based on the scaling, the curve enhancement system can generate CVC curves having the desired end point constraints. Then, using the end point constraints, the curve enhancement system can inversely downscale the non-uniform scaled curve while maintaining the end point constraints from the CVC curves to achieve an enhanced curve in the spline.

Abstract: Systems and methods are disclosed for identifying depth refinement image capture instructions for capturing images that may be used to refine existing depth maps. The depth refinement image capture instructions are determined by evaluating, at each image patch in an existing image corresponding to the existing depth map, a range of possible depth values over a set of configuration settings. Each range of possible depth values corresponds to an existing depth estimate of the existing depth map. This evaluation enables selection of one or more configuration settings in a manner such that there will be additional depth information derivable from one or more additional images captured with the selected configuration settings. When a refined depth map is generated using the one or more additional images, this additional depth information is used to increase the depth precision for at least one depth estimate from the existing depth map.

Abstract: Depth maps are generated from two or more of images captured with a conventional digital camera from the same viewpoint using different configuration settings, which may be arbitrarily selected for each image. The configuration settings may include aperture and focus settings and/or other configuration settings capable of introducing blur into an image. The depth of a selected image patch is evaluated over a set of discrete depth hypotheses using a depth likelihood function modeled to analyze corresponding images patches convolved with blur kernels using a flat prior in the frequency domain. In this way, the depth likelihood function may be evaluated without first reconstructing an all-in-focus image. Blur kernels used in the depth likelihood function and are identified from a mapping of depths and configuration settings to the blur kernels. This mapping is determined from calibration data for the digital camera used to capture the two or more images.

Abstract: Systems and methods are disclosed for identifying depth refinement image capture instructions for capturing images that may be used to refine existing depth maps. The depth refinement image capture instructions are determined by evaluating, at each image patch in an existing image corresponding to the existing depth map, a range of possible depth values over a set of configuration settings. Each range of possible depth values corresponds to an existing depth estimate of the existing depth map. This evaluation enables selection of one or more configuration settings in a manner such that there will be additional depth information derivable from one or more additional images captured with the selected configuration settings. When a refined depth map is generated using the one or more additional images, this additional depth information is used to increase the depth precision for at least one depth estimate from the existing depth map.

Abstract: Depth maps are generated from two or more of images captured with a conventional digital camera from the same viewpoint using different configuration settings, which may be arbitrarily selected for each image. The configuration settings may include aperture and focus settings and/or other configuration settings capable of introducing blur into an image. The depth of a selected image patch is evaluated over a set of discrete depth hypotheses using a depth likelihood function modeled to analyze corresponding images patches convolved with blur kernels using a flat prior in the frequency domain. In this way, the depth likelihood function may be evaluated without first reconstructing an all-in-focus image. Blur kernels used in the depth likelihood function and are identified from a mapping of depths and configuration settings to the blur kernels. This mapping is determined from calibration data for the digital camera used to capture the two or more images.

Abstract: Systems and methods are disclosed for identifying image capture instructions for capturing images that may be used to generate quality depth maps. In some examples, the image capture instructions are generated by predictively determining in a scene-independent manner configuration settings to be used by a camera to capture a minimal quantity of images for generating the quality depth map. The image capture instructions may thus indicate a quantity of images to be captured and the aperture and focus settings to be used when capturing the images. The image capture instructions may be determined based in part on a distance estimate, camera calibration information and a predetermined range of optimal blur radii. The range of optimal blur radii ensures that there will be sufficient depth information for generating a depth map of a particular quality from the yet-to-be-captured images.