Abstract: A simulation method and apparatus receive an input for selecting a partial area of a three-dimensional (3D) model of a garment using a user interface including an internal geometric shape and an external geometric shape, fix first vertices of a first area corresponding to the internal geometric shape to a 3D space at a first intensity, determine second intensities corresponding to second vertices of a second area between the internal geometric shape and the external geometric shape based on the first intensity, fix the second vertices to the 3D space at the second intensities, and simulate the 3D model of the garment by applying the first intensity and the second intensities.

Abstract: Systems, methods, and non-transitory computer readable media including instructions for enabling user interface display mode toggling. Enabling user interface display mode toggling includes presenting information in a first display region having predefined boundaries, the information being manipulatable via a user interface in the first display region; presenting, via a wearable extended reality appliance, a second display region beyond the predefined boundaries of the first display region; providing a control for altering a location of the user interface, wherein in a first mode, the user interface is presented in the first display region while the information is presented in the first display region and in a second mode, the user interface is presented in the second display region outside the predefined boundaries of the first display region while the information is presented in the first display region; and enabling toggling between the first mode and the second mode via the control.

Abstract: An automated registration method of 3D facial scan data and 3D volumetric medical image data using deep learning, includes extracting scan landmarks from the 3D facial scan data using a convolutional neural network, extracting volume landmarks from the 3D volumetric medical image data using the convolutional neural network and operating an initial registration of the 3D facial scan data and the 3D volumetric medical image data using the scan landmarks and the volume landmarks.

Abstract: Systems and methods for automated digital filing includes classifying digital files and curating a number of corpora of digital files based on the classifications associated with each of the digital files. In response to the classification label associated with each distinct corpus of digital files, selectively executing a set of computer instructions associated with the classification label that, when executed, modifies a digital state of a target corpus of digital files.

Abstract: A method including accessing an avatar including a plurality of physiological characteristics, wherein the avatar includes a plurality of motion profiles. The method including receiving editing of a motion profile of the avatar via a user interface. The method including modifying each of the plurality of motion profiles to be consistent with the motion profile that edited. The method including automatically generating a prompt to apply the motion profile that is edited to the avatar, wherein the prompt is provided as input for an image generation artificial intelligence system configured to implement latent diffusion. The method including generating a sequence of video frames using the image generation artificial intelligence system showing the avatar in motion based on the motion profile that is edited. The method including presenting the sequence of video frames in the user interface.

Abstract: This disclosure describes one or more implementations of a digital image semantic layout manipulation system that generates refined digital images resembling the style of one or more input images while following the structure of an edited semantic layout. For example, in various implementations, the digital image semantic layout manipulation system builds and utilizes a sparse attention warped image neural network to generate high-resolution warped images and a digital image layout neural network to enhance and refine the high-resolution warped digital image into a realistic and accurate refined digital image.

Abstract: Methods, systems and apparatuses may provide for technology that identifies that a first thread group of a pixel location is associated with a first shading rate, identifies that a second thread group of the pixel location is associated with a second shading rate, wherein the first shading rate is different from the second shading rate. The technology marks a dependency of the first thread group on the second thread group.

Abstract: A surgical planning tool evaluates a volumetric image of the skull to identify landmarks and define surgical corridors that can be compared and visualized for access to the skull for removal of tumors and the like.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing a program and a method for generating an avatar. The program and method perform operations comprising delivering, by a messaging server, a notification to a client device that identifies a fashion item for customizing an avatar of a user; causing the notification comprising the fashion item to be displayed on the client device; receiving, by the messaging server, a request from the client device to access the fashion item; determining that the request from the client device to access the fashion item has been received prior to expiration of a scarcity parameter of the fashion item; and enabling the client device to access the fashion item in response to determining that the request from the client device has been received prior to the expiration of the scarcity parameter of the fashion item.

Abstract: Disclosed is a method for rendering a user interface, the method including providing a digital map, the digital map having a first area surrounding at least partly a target area, defining a point of rotation on the digital map, providing locator co-ordinates in respect to the digital map, rendering, on the user interface, provided locator co-ordinates within first area of the digital map and rotating, about the point of rotation, the digital map to align the target area in a predetermined direction with respect to the user interface. Disclosed also is a computing device for rendering a user interface on a display thereof.

Abstract: [Problem] The estimation accuracy of a class of an object is to be effectively improved. [Means of Solution] Provided is an information processing device including an estimation unit that estimates, based on an input image, a class of an object that is present in a real environment corresponding to an imaging range of the input image, wherein the object includes an acoustically useful object having an acoustic feature useful for class estimation, and the estimation unit estimates a class of the acoustically useful object based on acoustic data collected from around the acoustically useful object.

Abstract: Systems, methods, and computer products according to the principles of the present inventions may involve a training system for a pilot of an aircraft. The training system may include an aircraft sensor system affixed to the aircraft adapted to provide a location of the aircraft, including an altitude of the aircraft, speed of the aircraft, and directional attitude of the aircraft. It may further include a helmet position sensor system adapted to determine a location of a helmet within a cockpit of the aircraft and a viewing direction of a pilot wearing the helmet. The helmet may include a see-through computer display through which the pilot sees an environment outside of the aircraft with computer content overlaying the environment to create an augmented reality view of the environment for the pilot.

Abstract: A system and method are provided for updating electronic content by selectively replacing virtual 3D objects being displayed in an electronic environment. The method includes in one example, presenting augmented reality (AR) content, the presented AR content showing a set of objects, at least some of the objects of the set of objects being rendered 3D objects; receiving an input identifying one of the objects of the set of objects; and responsive to the input, providing updated AR content, the updated AR content replacing at least one of the objects with a different rendered 3D object, wherein the replaced at least one of the objects is determined based on the identified one of the objects of the set of objects.

Abstract: Methods and intersection testing modules are provided for determining, in a ray tracing system, whether a ray intersects a 3D axis-aligned box representing a volume defined by a front-facing plane and a back-facing plane for each dimension. The front-facing plane of the box which intersects the ray furthest along the ray is identified. It is determined whether the ray intersects the identified front-facing plane at a position that is no further along the ray than positions at which the ray intersects the back-facing planes in a subset of the dimensions, and this determination is used to determine whether the ray intersects the axis-aligned box. The subset of dimensions comprises the two dimensions for which the front-facing plane was not identified, but does not comprise the dimension for which the front-facing plane was identified.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media that generate three-dimensional hybrid mesh-volumetric representations for digital objects. For instance, in one or more embodiments, the disclosed systems generate a mesh for a digital object from a plurality of digital images that portray the digital object using a multi-view stereo model. Additionally, the disclosed systems determine a set of sample points for a thin volume around the mesh. Using a neural network, the disclosed systems further generate a three-dimensional hybrid mesh-volumetric representation for the digital object utilizing the set of sample points for the thin volume and the mesh.

Abstract: The present disclosure provides a statistical, articulated 3D human shape modeling pipeline within a fully trainable, modular, deep learning framework. In particular, aspects of the present disclosure are directed to a machine-learned 3D human shape model with at least facial and body shape components that are jointly trained end-to-end on a set of training data. Joint training of the model components (e.g., including both facial, hands, and rest of body components) enables improved consistency of synthesis between the generated face and body shapes.

Abstract: A technique for rendering an input geometry includes generating a first segmentation mask for a first input geometry and a first set of texture maps associated with one or more portions of the first input geometry. The technique also includes generating, via one or more neural networks, a first set of neural textures for the one or more portions of the first input geometry. The technique further includes rendering a first image corresponding to the first input geometry based on the first segmentation mask, the first set of texture maps, and the first set of neural textures.

Abstract: Examples of methods for model prediction are described herein. In some examples, a method includes predicting a compensated model. In some examples, the compensated model is predicted based on a three-dimensional (3D) object model. In some examples, a method includes predicting a deformed model. In some examples, the deformed mode is predicted based on the compensated model.

Abstract: An image display method, an image processing method, an image processing device, a display system, and a computer-readable storage medium are disclosed. The image processing method is applied to an image processing device and includes: determining a first region in an original image; performing first processing on the first region in the original image to obtain a first processed region; performing second processing on the original image to obtain a second processed region; generating a first image based on the first processed region and the second processed region. A resolution of the first processed region is greater than a resolution of the second processed region.

Abstract: The present technology pertains to restoring a directory to a state prior to a past synchronization event. A content management system can present an interface including history of synchronization events for a directory, and a user can select to restore a directory to a state prior to any one of the past synchronization events.