Abstract: This application disclose an artificial intelligence (AI) based animation character drive method. A first expression base of a first animation character corresponding to a speaker is determined by acquiring media data including a facial expression change when the speaker says a speech, and the first expression base may reflect different expressions of the first animation character. After target text information is obtained, an acoustic feature and a target expression parameter corresponding to the target text information are determined according to the target text information, the foregoing acquired media data, and the first expression base. A second animation character having a second expression base may be driven according to the acoustic feature and the target expression parameter, so that the second animation character may simulate the speaker's sound and facial expression when saying the target text information, thereby improving experience of interaction between the user and the animation character.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for implementing part-level semantic aware transformations when editing digital images. For example, the disclosed systems identify a user selection designating an active region of a subpart (e.g., an object portion) to modify in a shape-constrained manner. Additionally, in certain implementations, the disclosed systems identify another user selection to designate an influenced region comprising adjoining areas connected to the active region. In some embodiments, the disclosed systems generate a boundary vector path outlining the active region and the influenced region. Furthermore, the disclosed systems can determine transformation constraints corresponding to specific path segments of the boundary vector path.

Abstract: A system for method for future forecasting using action priors that include receiving image data associated with a surrounding environment of an ego vehicle and dynamic data associated with dynamic operation of the ego vehicle. The system and method also include analyzing the image data and detecting actions associated with agents located within the surrounding environment of the ego vehicle and analyzing the dynamic data and processing an ego motion history of the ego vehicle. The system and method further include predicting future trajectories of the agents located within the surrounding environment of the ego vehicle and a future ego motion of the ego vehicle within the surrounding environment of the ego vehicle.

Abstract: Embodiments are generally directed to methods and apparatuses for buffer sharing. An embodiment of a method comprises: receiving a plurality of graphics data comprising a first graphics data, each of the plurality of graphics data mapped to a corresponding buffer in a Graphics Processing Unit (GPU) memory, wherein the first graphics data is mapped to a first buffer in the GPU memory; receiving a second graphics data mapped to a second buffer in the GPU memory; comparing the first buffer mapped by the first graphics data with the second buffer mapped by the second graphics data; and remapping the second graphics data to the first buffer if the first buffer is identical with the second buffer.

Abstract: Disclosed herein is a method of transmitting point cloud data. The method may include acquiring point cloud data, encoding geometry information including positions of points in the point cloud data, encoding attribute information including attribute values of points in the point cloud data based on the geometry information, and transmitting the encoded geometry information, the encoded attribute information and signaling information.

Abstract: A method for predicting behavior changes of a participant of a virtual three dimensional (3D) video conference, the method may include determining, for each part of multiple parts of the virtual 3D video conference, and by a first computerized unit, (a) a participant behavioral predictor to be applied by a second computerized unit during the part of the virtual 3D video conference, (b) one or more prediction inaccuracies related to the applying of the participant behavioral predictor during the part of the virtual 3D video conference, and (c) whether to generate and transmit to the second computerized unit prediction inaccuracy metadata that is indicative of at least one prediction inaccuracy that affects a representation of the participant within a virtual 3D video conference environment presented to another participant of the virtual 3D video conference during the part of the virtual 3D video conference; and generating and transmitting to the second computerized unit the prediction inaccuracy metadata, when

Abstract: Provided is a method for controlling avatar motion, which is operated in a user terminal and includes receiving an input audio by an audio sensor, and controlling, by one and more processors, a motion of a first user avatar based on the input audio.

Abstract: Systems and methods are provided for generating a design for a gliding board. The methods involve operating a processor to: define a desired carved turn of the gliding board; define a desired global curvature profile; generate a desired deformed shape of the gliding board during the desired carved turn; generate a sidecut profile of the gliding board; generate a width profile of the gliding board; generate a camber profile of the gliding board; generate at least one stiffness design variable profile; generate a total load profile; modify at least the width profile, the sidecut profile and at least one of the at least one stiffness design variable profile at least once; and define the design for the gliding board based at least on the width profile, the camber profile, and the at least one stiffness design variable profile.

Abstract: Systems and methods for animating from audio in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating animation from audio. The method includes steps for receiving input audio data, generating an embedding for the input audio data, and generating several predictions for several tasks from the generated embedding. The several predictions includes at least one of blendshape weights, event detection, and/or voice activity detection. The method includes steps for generating a final prediction from the several predictions, where the final prediction includes a set of blendshape weights, and generating an output based on the generated final prediction.

Abstract: A system, method and computer program product for generating a digital image. An initial image object defined in an initial coordinate system is determined from an image generation input. The initial coordinate system has at most four dimensions. At least one initial image transformation to be performed on the initial image object is also determined from the image generation input. Each initial image transformation is mapped to a corresponding six-dimensional transformation defined in a six-dimensional coordinate system. An updated image is calculated by applying the six-dimensional set of image transformations to the at least one initial image object. The updated image is then rendered on a user display.

Abstract: Methods and systems for generating a composite image in remote sensing applications are described. In an example, a device can receive an image having a plurality of points specified in an image space. The device can extract a portion of the image and transform points among the extracted portion from the image space to a parameter space defined by a distance parameter and an orientation parameter. The device can identify a set of intersection points in the parameter space that indicate at least one occurrence of a geometry feature in the extracted portion of the image. The device can augment the portion of the image with a plurality of new pixels based on the identified set of intersection points. The device can generate a composite image using the augmented image, where the composite image can include a plurality of augmented images corresponding to other portions of the image.

Abstract: An disclosure includes: moving image acquisition unit configured to acquire moving image data obtained through moving image capturing of at least a mouth part of an utterer; a lip detection unit configured to detect a lip part from the moving image data and detect motion of the lip part; a moving image processing unit configured to generate a moving image enhanced to increase the motion of the lip part detected by the lip detection unit; and a display control unit configured to control a display panel to display the moving image generated by the moving image processing unit.

Abstract: A method for conducting a virtual three dimensional (3D) video conference between multiple participants, the method may include receiving by a user device of a first participant of the virtual 3D video conference, reference second participant 3D representation information for generating a second participant 3D representation under different constraints. The different constraints include at least one out of (a) a touch up constraint, (b) a makeup constraint, and (c) one or more circumstances constraint.

Abstract: A multimedia communication system and computer-implemented method for transmitting auxiliary display content to an end-user communication device to be rendered on a display device with a special effect to emphasize an image included in the auxiliary display content, comprising a processor and a transmitter. The processor can be arranged to analyze image data included in an auxiliary display content, detect an object image or a background image in the auxiliary display content based on the analysis of the image data, determine a special effect based on the analysis of the image data, and apply the special effect to the auxiliary display content to modify display properties for the auxiliary display content such that the object image is emphasized or pops-out. The transmitter can be arranged to send the auxiliary display content with modified display properties to an end-user communication device.

Abstract: A system and method are provided for machine learning (ML) quality assurance. The method trains a plurality of agent ML annotation model software applications. Each agent annotation model is trained with a corresponding subset of annotated raw data images including annotation marks forming a boundary surrounding the first shape. A baseline ML annotation model is trained with all the subsets of annotated raw data images. The method accepts an evaluation dataset with unannotated images including the first shape, which is provided to the agent models and baseline models. In response to the evaluation dataset, the agent and baseline models infer predicted images including annotation marks forming a boundary surrounding the first shape. The baseline model predicted images are compared to the predicted images of each agent model for the purpose of determining agent model quality and identifying problematic raw data images for retraining purposes.

Abstract: Systems, methods, and computer-readable media for registering initial computed tomography (CT) images of a luminal network with subsequent CT images of the luminal network include obtaining initial CT images of the luminal network and subsequent CT images of the luminal network, generating an initial three-dimensional (3D) model of the luminal network based on the initial CT images of the luminal network, generating a subsequent 3D model of the luminal network based on the subsequent CT images of the luminal network, and matching the initial 3D model with the subsequent 3D model based on a registration.

Abstract: This disclosure describes methods, non-transitory computer readable storage media, and systems that utilize color density estimation in a blended boundary region of a digital image to generate an image mask. For example, the disclosed system extracts a foreground region, a background region, and a blended boundary region from a digital image. The disclosed system determines a color histogram—within a color space selected utilizing the foreground region and the background region—for a portion of the background region along an edge of the blended boundary region. Additionally, the disclosed system generates a color density map for the blended boundary region by comparing colors in the blended boundary region to colors in the color histogram of the background band. The disclosed system then generates a final mask for the digital image based on the color density map.

Abstract: Display of graphical maps of agricultural fields, coded with color or other indicators of values of data pertaining to agronomy at high resolution, and updated on a daily basis or on demand by recalculating agronomy models with the high-resolution data, is disclosed. Map displays may include multiple layers that relate to different agronomy metrics, and GUI widgets that are programmed to receive selection of values indicating different field properties or layers to display.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for performing operations comprising: capturing a video that depicts a person; identifying a set of skeletal joints of the person depicted in the video; storing a movement vector representing previously captured three-dimensional (3D) movement of the set of skeletal joints of the person depicted in the video; receiving input that selects a 3D avatar; and animating, based on the movement vector, the 3D avatar to mimic the previously captured 3D movement of the set of skeletal joints of the person depicted in the video.

Abstract: 3-D rendering systems include a rasterization section that can fetch untransformed geometry, transform geometry and cache data for transformed geometry in a memory. As an example, the rasterization section can transform the geometry into screen space. The geometry can include one or more of static geometry and dynamic geometry. The rasterization section can query the cache for presence of data pertaining to a specific element or elements of geometry, and use that data from the cache, if present, and otherwise perform the transformation again, for actions such as hidden surface removal. The rasterization section can receive, from a geometry processing section, tiled geometry lists and perform the hidden surface removal for pixels within respective tiles to which those lists pertain.