Abstract: An information processing apparatus according to the present invention includes at least one memory and at least one processor which function as: an acquisition unit configured to acquire a display condition for a graphic to be displayed in three-dimensional space; an analyzing unit configured to analyze the three-dimensional space; and a determining unit configured to determine a display position of the graphic in the three-dimensional space, on a basis of the display condition of the graphic and an analysis result of the three-dimensional space, wherein the display condition is associated with the graphic, and includes a condition relating to the three-dimensional space.

Abstract: A face image processing method and apparatus, and a device and a medium are provided. The method includes: acquiring a first feature map and a second feature map of a current layer, and generating a plurality of original makeup feature regions corresponding to a plurality of face parts according to the first feature map, generating a plurality of reference makeup feature regions corresponding to the plurality of face parts according to the second feature map, performing makeup migration calculation on each of the original makeup feature regions and a corresponding reference makeup feature region to acquire a plurality of candidate makeup feature regions, stitching the plurality of candidate makeup feature regions to generate a target feature map, and judging whether the target feature map satisfies a preset decoding condition.

Abstract: In some implementations, a method includes obtaining environmental data corresponding to an environment. The method includes determining that the environmental data corresponding to the environment includes environmental data that corresponds to a first portion of an object that represents a sub-portion of the object and not an entirety of the object. The method includes generating a plurality of candidate point clouds for a second portion of the object based on the environmental data corresponding to the first portion of the object. The plurality of candidate point clouds are associated with corresponding confidence scores. The method includes synthesizing a model of the environment that includes a point cloud representing the first portion of the object, at least a subset of the plurality of candidate point clouds for the second portion of the object and the corresponding confidence scores associated with the subset of the plurality of candidate point clouds.

Abstract: Systems and methods for receipt-gated, fail-closed rendering and egress of synthetic overlays in AR/VR/camera pipelines. An OS-resident reality compositor admits an overlay only when a per-overlay Reality Receipt (R2) verifies, within the frame budget, to a current signed head of an append-only public log under a freshness policy, using an inclusion proof and, on head advance, append-only evolution (consistency); an anti-replay tuple prevents reuse. A view-permit latch binds time-of-check/time-of-use (TOCTOU) verify-to-pixels and returns a Structured Precondition-Failure (code) while dropping non-conformant draws; PASS draws are labeled in machine-readable (optionally machine-audible) form. The same predicates govern rendering and at least one of share, upload, record/capture, or clipboard. An attested boundary (TEE/secure element) may aggregate a device run-permit across apps.

Abstract: Apparatus and method for a biased BVH traversal path. For example, one embodiment of an apparatus comprises: ray tracing traversal hardware logic to traverse a ray through nodes of a bounding volume hierarchy (BVH); and stack management hardware logic to push and pop entries on a traversal stack, each entry corresponding to a node of the BVH, wherein the ray tracing traversal hardware logic is to determine an order in which to push entries to the traversal stack based on both a first intersection value corresponding to a closest intersection point between the ray and a BVH node and a farthest intersection value between the ray and the BVH node. In addition, the ray traversal hardware logic may determine the order in which to push the entries to the traversal stack further based on a probability density value corresponding to a probability of a ray hitting geometry inside of the BVH.

Abstract: In one implementation, a method includes: identifying a plurality of plot-effectuators and a plurality of environmental elements within a scene associated with a portion of video content; determining one or more spatial relationships between the plurality of plot-effectuators and the plurality of environmental elements within the scene; synthesizing a representation of the scene based at least in part on the one or more spatial relationships; extracting a plurality of action sequences corresponding to the plurality of plot-effectuators based at least in part on the portion of the video content; and generating a corresponding synthesized reality (SR) reconstruction of the scene by driving a plurality of digital assets, associated with the plurality of plot-effectuators, within the representation of the scene according to the plurality of action sequences.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to implement dual attention vision transformers for interactive image segmentation. In some examples, the apparatus includes memory, instructions, and processor circuitry to execute and/or instantiate the instructions to partition information in an input tensor into a plurality of tensor crops, the input tensor representing image data of an image. The processor circuitry is further to execute and/or instantiate the instructions to create a dual-attention tensor representation of the input tensor, including an inter-attention tensor representation describing a first correlation between the plurality of tensor crops and an intra-attention tensor representation describing a second correlation between a plurality of layers in a tensor crop of the plurality of tensor crops.

Abstract: The present disclosure relates to an information processing device and method that enables simultaneous use of a plurality of video components for one object using a scene description. In an extension for the 3D object video defined in a material layer of a scene description file, a component index having a different value for each of video components is set to a video component included in the 3D object video. In addition, the video component is stored in a corresponding buffer on the basis of the component index, the video component is acquired from the buffer on the basis of the component index, and a display image is generated using the acquired video component. The present disclosure can be applied to, for example, an information processing device, an information processing method, or the like.

Abstract: Disclosed are methods and systems for automatic generation and distribution of curbside map data. A server receives municipal regulation data from an external source, and processes the municipal regulation data to generate curbside map data. The server also transmits a message conveying at least a portion (e.g. relevant portion based on request) of the curbside map data to a client computing device. By obtaining and processing the municipal regulation data, the curbside map data can be generated and distributed without time consuming and error prone disadvantages of manual surveying.

Abstract: A face tracking system is provided. The face tracking system includes a camera and a processor. The camera is configured to obtain a face image of a face of a user. The processor is configured to identify a facial feature of the face of the user based on the face image, determine a size range of a size of the facial feature based on the face image, and determine transformation relationship between the facial feature of the face of the user and a virtual facial feature of an avatar corresponding to the facial feature based on the size range of the size of the facial feature and a virtual size range of a virtual size of the virtual facial feature.

Abstract: In one aspect, a computerized method for rendering a three-dimensional (3D) digital image for automated facial morphing includes the step of determining that a user's face is in a compliant state. The method includes the step of scanning of the user's face with a digital camera to obtain a set of digital images of the user's face. The method includes the step of implementing an analysis of the set of digital images and implementing a set of pre-rendering steps. Each digital image comprises a depth data, a red/green/blue (RGB) data, and a facemask data, implementing an iterative closest path (ICP) algorithm that correlates the set of digital images together by stitching together the cloud of points of the facemask data of each digital image and outputs a set of transformation matrices.

Abstract: Apparatuses, systems, and techniques are presented to generate image data. In at least one embodiment, one or more neural networks are used to cause a lighting effect to be applied to one or more objects within one or more images based, at least in part, on synthetically generated images of the one or more objects.

Abstract: A display device according to an embodiment may include a display and a controller configured to apply a global contrast curve that adjusts a luminance of an entire region of an input image, generate a plurality of local contrast curves corresponding to each of a plurality of local regions based on a local information of each of the plurality of local regions included in the entire region, apply each local contrast curve to each local area, and adjust one or more of a noise processing intensity or a sharpness intensity of a local output image to which the local contrast curve is applied based on each local information.

Abstract: A method and system for reconstructing a photo-realistic, three-dimensional representation of at least part of a conference participant's head from image data, head alignment data, and depth data. The image data is projected from a world space into an object space using the head alignment data and depth data. In the object space, at least part of the area missing from the image data is completed using a computational model of a person. An artificial neural network is used to reconstruct the texture and depth of the reconstruction as part of the completion. At least the image data and the head alignment data are determined based on two-dimensional or 2.5-dimensional images of the conference participant captured by a camera.

Abstract: The present disclosure describes systems, non-transitory computer-readable media, and methods for generating object-specific-preset edits to be later applied to other digital images depicting a same object type or applying a previously generated object-specific-preset edit to an object of the same object type within a target digital image. For example, in some cases, the disclosed systems generate an object-specific-preset edit by determining a region of a particular localized edit in an edited digital image, identifying an edited object corresponding to the localized edit, and storing in a digital-image-editing document an object tag for the edited object and instructions for the localized edit. In certain implementations, the disclosed systems further apply such an object-specific-preset edit to a target object in a target digital image by determining transformed-positioning parameters for a localized edit from the object-specific-preset edit to the target object.

Abstract: A method and system provide for annotating a computer-aided design (CAD) drawing. Existing drawings are obtained and include annotations and geometries that serve as annotation points. The geometries are extracted and an Autoregressive Transformer model is trained on the extracted geometries and annotations. A new drawing is obtained. First user input selecting a first geometry in the new drawing is received and the first annotation is created. The new geometries are extracted. The Autoregressive Transformer model generates potential new annotation points and annotations. The potential new annotation points are connected to the selected first geometry and fall within a defined spatial boundary. The potential new annotations are displayed in the new drawing and second user input selects one of the potential new annotations to utilize as one or more new annotations.

Abstract: Techniques are described for using computing devices to perform automated operations for determining matching buildings and using corresponding information in further automated manners, such as by determining buildings having similarities to an indicated target building based at least in part on building floor plans and/or other attributes, and by automatically determining building modifications to implement for the target building based at least in part on differences with the similar buildings and/or building features that are prioritized or deprioritized from analysis of user activity data of one or more types, optionally in combination with one or more other specified criteria. Information about such determined buildings may be used in various automated manners, including for controlling device navigation (e.g., autonomous vehicles), for display on client devices in corresponding graphical user interfaces, for further analysis to identify shared and/or aggregate characteristics, etc.

Abstract: In various embodiments, a scene reconstruction model generates three-dimensional (3D) representations of scenes. The scene reconstruction model computes a first 3D feature grid based on a set of red, blue, green, and depth (RGBD) images associated with a first scene. The scene reconstruction model maps the first 3D feature grid to a first 3D representation of the first scene. The scene reconstruction model computes a first reconstruction loss based on the first 3D representation and the set of RGBD images. The scene reconstruction model modifies at least one of the first 3D feature grid, a first pre-trained geometry decoder, or a first pre-trained texture decoder based on the first reconstruction loss to generate a second 3D representation of the first scene.

Abstract: A shape analysis apparatus includes an obtaining unit configured to obtain mesh data representing a shape of an object, using a plurality of triangular meshes; a processing unit configured to perform processing of: merging two of the plurality of triangular meshes together, the two triangular meshes sharing one edge, and a difference in orientation being within a certain range between normal vectors of the two triangular meshes; and repeatedly merging a triangular mesh included in the plurality of triangular meshes, the triangular mesh sharing one edge with the merged meshes, and a difference in orientation being within a certain range between normal vectors of the triangular mesh and the merged meshes; and an analyzing unit configured to analyze shape data representing the shape of the object, in accordance with a result of the processing performed by the processing unit.

Abstract: A system and method for generating models from digital images in an interactive environment comprising a memory and a processor in communication with the memory. The processor captures or derives metadata for one or more digital images. The processor derives transforms from the metadata to align the digital images with one or more three-dimensional (“3D”) models of objects/structures represented in the digital image. The processor generates an interactive environment which allows a user to view a contextual model of each of the objects/structures in two dimensional (“2D”) and 3D views.