Abstract: Embodiments of the present invention are directed towards intuitive editing of three-dimensional models. In embodiments, salient geometric features associated with a three-dimensional model defining an object are identified. Thereafter, feature attributes associated with the salient geometric features are identified. A feature set including a plurality of salient geometric features related to one another is generated based on the determined feature attributes (e.g., properties, relationships, distances). An editing handle can then be generated and displayed for the feature set enabling each of the salient geometric features within the feature set to be edited in accordance with a manipulation of the editing handle. The editing handle can be displayed in association with one of the salient geometric features of the feature set.

Abstract: Generation of parameterized avatars is described. An avatar generation system uses a trained machine-learning model to generate a parameterized avatar, from which digital visual content (e.g., images, videos, augmented and/or virtual reality (AR/VR) content) can be generated. The machine-learning model is trained to identify cartoon features of a particular style—from a library of these cartoon features—that correspond to features of a person depicted in a digital photograph. The parameterized avatar is data (e.g., a feature vector) that indicates the cartoon features identified from the library by the trained machine-learning model for the depicted person. This parameterization enables the avatar to be animated. The parameterization also enables the avatar generation system to generate avatars in non-photorealistic (relatively cartoony) styles such that, despite the style, the avatars preserve identities and expressions of persons depicted in input digital photographs.

Abstract: Matching an illumination of an embedded virtual object (VO) with current environment illumination conditions provides an enhanced immersive experience to a user. To match the VO and environment illuminations, illumination basis functions are determined based on preprocessing image data, captured as a first combination of intensities of direct illumination sources illuminates the environment. Each basis function corresponds to one of the direct illumination sources. During the capture of runtime image data, a second combination of intensities illuminates the environment. An illumination-weighting vector is determined based on the runtime image data. The determination of the weighting vector accounts for indirect illumination sources, such as surface reflections. The weighting vector encodes a superposition of the basis functions that corresponds to the second combination of intensities. The method illuminates the VO based on the weighting vector.

Abstract: Certain embodiments involve synthesizing image content depicting facial hair or other hair features based on orientation data obtained using guidance inputs or other user-provided guidance data. For instance, a graphic manipulation application accesses guidance data identifying a desired hair feature and an appearance exemplar having image data with color information for the desired hair feature. The graphic manipulation application transforms the guidance data into an input orientation map. The graphic manipulation application matches the input orientation map to an exemplar orientation map having a higher resolution than the input orientation map. The graphic manipulation application generates the desired hair feature by applying the color information from the appearance exemplar to the exemplar orientation map. The graphic manipulation application outputs the desired hair feature at a presentation device.

Abstract: Generation of parameterized avatars is described. An avatar generation system uses a trained machine-learning model to generate a parameterized avatar, from which digital visual content (e.g., images, videos, augmented and/or virtual reality (AR/VR) content) can be generated. The machine-learning model is trained to identify cartoon features of a particular style—from a library of these cartoon features—that correspond to features of a person depicted in a digital photograph. The parameterized avatar is data (e.g., a feature vector) that indicates the cartoon features identified from the library by the trained machine-learning model for the depicted person. This parameterization enables the avatar to be animated. The parameterization also enables the avatar generation system to generate avatars in non-photorealistic (relatively cartoony) styles such that, despite the style, the avatars preserve identities and expressions of persons depicted in input digital photographs.

Abstract: Embodiments involve reducing collision-based defects in motion-stylizations. For example, a device obtains facial landmark data from video data. The facial landmark data includes a first trajectory traveled by a first point tracking one or more facial features, and a second trajectory traveled by a second point tracking one or more facial features. The device applies a motion-stylization to the facial landmark data that causes a first change to one or more of the first trajectory and the second trajectory. The device also identifies a new collision between the first and second points that is introduced by the first change. The device applies a modified stylization to the facial landmark data that causes a second change to one or more of the first trajectory and the second trajectory. If the new collision is removed by the second change, the device outputs the facial landmark data with the modified stylization applied.

Abstract: The present disclosure includes methods and systems for generating modified digital images utilizing a neural network that includes a rendering layer. In particular, the disclosed systems and methods can train a neural network to decompose an input digital image into intrinsic physical properties (e.g., such as material, illumination, and shape). Moreover, the systems and methods can substitute one of the intrinsic physical properties for a target property (e.g., a modified material, illumination, or shape). The systems and methods can utilize a rendering layer trained to synthesize a digital image to generate a modified digital image based on the target property and the remaining (unsubstituted) intrinsic physical properties. Systems and methods can increase the accuracy of modified digital images by generating modified digital images that realistically reflect a confluence of intrinsic physical properties of an input digital image and target (i.e., modified) properties.

Abstract: Certain embodiments involve synthesizing image content depicting facial hair or other hair features based on orientation data obtained using guidance inputs or other user-provided guidance data. For instance, a graphic manipulation application accesses guidance data identifying a desired hair feature and an appearance exemplar having image data with color information for the desired hair feature. The graphic manipulation application transforms the guidance data into an input orientation map. The graphic manipulation application matches the input orientation map to an exemplar orientation map having a higher resolution than the input orientation map. The graphic manipulation application generates the desired hair feature by applying the color information from the appearance exemplar to the exemplar orientation map. The graphic manipulation application outputs the desired hair feature at a presentation device.

Abstract: Systems and techniques provide a user interface within an application to enable users to designate a folded object image of a folded object, as well as a superimposed image of a superimposed object to be added to the folded object image. Within the user interface, the user may simply place the superimposed image over the folded object image to obtain the desired modified image. If the user places the superimposed image over one or more folds of the folded object image, portions of the superimposed image will be removed to create the illusion in the modified image that the removed portions are obscured by one or more folds.

Abstract: Systems and techniques provide a user interface within an application to enable users to designate a folded object image of a folded object, as well as a superimposed image of a superimposed object to be added to the folded object image. Within the user interface, the user may simply place the superimposed image over the folded object image to obtain the desired modified image. If the user places the superimposed image over one or more folds of the folded object image, portions of the superimposed image will be removed to create the illusion in the modified image that the removed portions are obscured by one or more folds.

Abstract: Embodiments involve reducing collision-based defects in motion-stylizations. For example, a device obtains facial landmark data from video data. The facial landmark data includes a first trajectory traveled by a first point tracking one or more facial features, and a second trajectory traveled by a second point tracking one or more facial features. The device applies a motion-stylization to the facial landmark data that causes a first change to one or more of the first trajectory and the second trajectory. The device also identifies a new collision between the first and second points that is introduced by the first change. The device applies a modified stylization to the facial landmark data that causes a second change to one or more of the first trajectory and the second trajectory. If the new collision is removed by the second change, the device outputs the facial landmark data with the modified stylization applied.

Abstract: The present disclosure includes systems, methods, computer readable media, and devices that can generate accurate augmented reality objects based on tracking a writing device in relation to a real-world surface. In particular, the systems and methods described herein can detect an initial location of a writing device, and further track movement of the writing device on a real-world surface based on one or more sensory inputs. For example, disclosed systems and methods can generate an augmented reality object based on pressure detected at a tip of a writing device, based on orientation of the writing device, based on motion detector elements of the writing device (e.g., reflective materials, emitters, or object tracking shapes), and/or optical sensors. The systems and methods further render augmented reality objects within an augmented reality environment that appear on the real-world surface based on tracking the movement of the writing device.

Abstract: A stereoscopic six-degree of freedom viewing experience with a monoscopic 360-degree video is provided. A monoscopic 360-degree video of a subject scene can be processed by analyzing each frame to recover a three-dimensional geometric representation, and recover a camera motion path. Utilizing the recovered three-dimensional geometric representation and camera motion path, a dense three-dimensional geometric representation of the subject scene is generated. The processed video can be provided for stereoscopic display via a device. As motion of the device is detected, novel viewpoints can be stereoscopically synthesized for presentation in real time, so as to provide an immersive virtual reality experience based on the original monoscopic 360-degree video and the detected motion of the device.

Abstract: Matching an illumination of an embedded virtual object (VO) with current environment illumination conditions provides an enhanced immersive experience to a user. To match the VO and environment illuminations, illumination basis functions are determined based on preprocessing image data, captured as a first combination of intensities of direct illumination sources illuminates the environment. Each basis function corresponds to one of the direct illumination sources. During the capture of runtime image data, a second combination of intensities illuminates the environment. An illumination-weighting vector is determined based on the runtime image data. The determination of the weighting vector accounts for indirect illumination sources, such as surface reflections. The weighting vector encodes a superposition of the basis functions that corresponds to the second combination of intensities. The method illuminates the VO based on the weighting vector.

Abstract: Certain embodiments involve switching to a particular video loop based on a user's focus while displaying video content to a user. For example, a video playback system identifies a current frame of the video content in a current region of interest being presented to a user on a presentation device. The video playback system also identifies an updated region of interest in the video content. The video playback system determines that a start frame and an end frame of a video portion within the region of interest have a threshold similarity. The video playback system selects, based on the threshold similarity, the video portion as a loop to be displayed to the user in the updated region of interest. The video playback system causes the presentation device to display the video portion as the loop.

Abstract: Certain embodiments involve switching to a particular video loop based on a user's focus while displaying video content to a user. For example, a video playback system identifies a current frame of the video content in a current region of interest being presented to a user on a presentation device. The video playback system also identifies an updated region of interest in the video content. The video playback system determines that a start frame and an end frame of a video portion within the region of interest have a threshold similarity. The video playback system selects, based on the threshold similarity, the video portion as a loop to be displayed to the user in the updated region of interest. The video playback system causes the presentation device to display the video portion as the loop.

Abstract: The present disclosure includes systems, methods, computer readable media, and devices that can generate accurate augmented reality objects based on tracking a writing device in relation to a real-world surface. In particular, the systems and methods described herein can detect an initial location of a writing device, and further track movement of the writing device on a real-world surface based on one or more sensory inputs. For example, disclosed systems and methods can generate an augmented reality object based on pressure detected at a tip of a writing device, based on orientation of the writing device, based on motion detector elements of the writing device (e.g., reflective materials, emitters, or object tracking shapes), and/or optical sensors. The systems and methods further render augmented reality objects within an augmented reality environment that appear on the real-world surface based on tracking the movement of the writing device.

Abstract: Embodiments are directed towards providing a target view, from a target viewpoint, of a 3D object. A source image, from a source viewpoint and including a common portion of the object, is encoded in 2D data. An intermediate image that includes an intermediate view of the object is generated based on the data. The intermediate view is from the target viewpoint and includes the common portion of the object and a disoccluded portion of the object not visible in the source image. The intermediate image includes a common region and a disoccluded region corresponding to the disoccluded portion of the object. The disoccluded region is updated to include a visual representation of a prediction of the disoccluded portion of the object. The prediction is based on a trained image completion model. The target view is based on the common region and the updated disoccluded region of the intermediate image.

Abstract: The present disclosure includes systems, methods, computer readable media, and devices that can generate accurate augmented reality objects based on tracking a writing device in relation to a real-world surface. In particular, the systems and methods described herein can detect an initial location of a writing device, and further track movement of the writing device on a real-world surface based on one or more sensory inputs. For example, disclosed systems and methods can generate an augmented reality object based on pressure detected at a tip of a writing device, based on orientation of the writing device, based on motion detector elements of the writing device (e.g., reflective materials, emitters, or object tracking shapes), and/or optical sensors. The systems and methods further render augmented reality objects within an augmented reality environment that appear on the real-world surface based on tracking the movement of the writing device.

Abstract: Embodiments are directed towards providing a target view, from a target viewpoint, of a 3D object. A source image, from a source viewpoint and including a common portion of the object, is encoded in 2D data. An intermediate image that includes an intermediate view of the object is generated based on the data. The intermediate view is from the target viewpoint and includes the common portion of the object and a disoccluded portion of the object not visible in the source image. The intermediate image includes a common region and a disoccluded region corresponding to the disoccluded portion of the object. The disoccluded region is updated to include a visual representation of a prediction of the disoccluded portion of the object. The prediction is based on a trained image completion model. The target view is based on the common region and the updated disoccluded region of the intermediate image.