13 results about "Interactive editing" patented technology

The application discloses a PDF file editing method and device based on a Web end and related media, and the method comprises the following steps: carrying out hierarchical analysis on document data to obtain pagination resource data, carrying out object analysis on the pagination resource data to obtain a page object model, calculating a unified display matrix of a page space to a device space and rendering to a canvas, superimposing an interactive editing layer to respond to an editing operation and synchronously mapping to the page object model, adapting display transformation parameters of an annotation object, extracting an object operation marked as changed and outputting incremental operation data by page aggregation. The application takes the page object model as a unified data core, runs through the multi-thread cooperative processing of hierarchical analysis, object modeling, unified display matrix transformation and rendering, interactive editing synchronous mapping, annotation display transformation parameter adaptation and incremental operation data output, and makes each link consistent in data structure and coordinate system, so that the precision of editing the PDF file on the Web end is improved.

This invention discloses a method, apparatus, and related media for editing PDF files on a web-based platform. The method includes hierarchical parsing of document data to obtain pagination resource data; object-oriented parsing of the pagination resource data to obtain a page object model; calculation of a unified display matrix from page space to device space and rendering it onto a canvas; overlaying an interactive editing layer to respond to editing operations and synchronously mapping it to the page object model; adapting display transformation parameters for annotation objects; and extracting operations of objects marked as changed and aggregating incremental operation data page by page. This invention improves the accuracy of editing PDF files on a web-based platform by using the page object model as the unified data core and integrating multi-threaded collaborative processing across hierarchical parsing, object-oriented modeling, unified display matrix transformation rendering, interactive editing synchronous mapping, annotation display transformation parameter adaptation, and incremental operation data output. This ensures consistency in data structure and coordinate system across all stages.

This invention discloses a method and system for interactive editing and dynamic reconstruction of tender documents based on a large language model. Step 1: Initialize the tender document structure: The user uploads the tender document, and the system extracts the tender requirements through OCR and text parsing. Step 2: User interactively edits the table of contents: The user performs operations such as adding, deleting, sorting, and renaming nodes in the front-end directory tree area. Step 3: Generate chapter content and bind prompt words. Step 4: Update content and synchronize status: After the large language model returns the generated results, the system writes the new content into the corresponding chapter container. Step 5: Export the tender document: The system reads the structured tender document data. Through systematic innovation in structure awareness, controllable granularity, context fusion, and human-computer collaboration, an efficient, reliable, and flexible interactive reconstruction system for tender documents is constructed.

This application provides a method and system for generating population heatmaps that supports interactive editing. The method includes: performing multi-level grid subdivision on a target area to generate a set of grid cells; mapping multi-source heterogeneous population data to the set of grid cells, generating initial population heatmap values ​​for each grid cell; receiving user editing operations on the initial population heatmap values ​​of any grid cell through an interactive editing interface; responding to the editing operations based on the topological relationships between grid cells and performing consistency maintenance operations to synchronously update the initial population heatmap values ​​of related grid cells; and generating a population heatmap in real time based on the updated set of grid cells, supporting export as geographic data in a preset format. This application achieves differentiated and refined subdivision through the multi-level coding characteristics of GeoSOT; automatically triggering upward aggregation updates and downward constraint reallocation when the user edits local grid values, ensuring logical self-consistency of grid data at any level.

This invention relates to a method and system for generating interior design renderings of empty rooms based on a large AI model, belonging to the fields of interior design and artificial intelligence. The method includes: acquiring structural condition information of the empty room and style intent information of the user; the structural condition information is generated through a spatial structure extraction model, and the style intent information is encoded into a structured design vector through a multimodal semantic parsing model; inputting the structural condition information and the structured design vector into a structure-style joint control network, which embeds a cross-attention fusion module in the U-Net decoding layer of the diffusion model to deeply fuse multi-scale structural features with style semantic embeddings; generating interior design renderings through iterative denoising, and supporting interactive editing of local areas and quality evaluation feedback optimization. This method solves the problems of structural deformation and style drift in existing technologies, supports multi-style generation with a single model, reduces storage space, improves structural accuracy, and enhances generation quality and interaction efficiency.

This invention discloses a method and system for editing 3D assets based on dual representation and skeleton control. The method includes: acquiring dual representations of the same 3D asset; predicting the skeleton through a mesh and establishing skinning weight control relationships; defining the motion coordination relationship between the mesh and Gaussian points using face-point binding and affine transformation, supporting distance-aware weighted updates of Gaussian parameters; receiving user spatial constraint instructions; using the skeleton pose as the optimization variable; and performing gradient modulation optimization by combining geometric deviation loss and visual rationality regularization terms; finally, driving mesh deformation and synchronously updating the Gaussian representation, achieving semantically controllable, geometrically faithful, and rendering-efficient 3D asset editing. This invention constructs an affine binding coordination mechanism between mesh triangles and Gaussian points by fusing 3D mesh and 3D Gaussian splash dual representations, enabling high-quality interactive editing of 3D assets while maintaining geometric structural integrity and supporting semantically clear and rendering-consistent results.

This invention discloses a method for generating human-pet interaction behavior based on multimodal semantics, relating to the fields of artificial intelligence, computer vision, and generative content processing. The method includes the following stages: Dataset construction stage: constructing source images in a subject-separated state and target ground truth images in a topic-deep interactive state, and establishing a twin alignment relationship between the two; Interaction command generation stage: setting global trigger commands as global keys to activate interaction capabilities; Model training stage: after configuring the training environment path, sequentially executing a two-order cross-dimensional semantic alignment strategy through network dimension configuration, training intensity and iteration control, and spatial dimension misalignment configuration, and using a dataset with twin alignment relationships for model training, enabling the trained model to generate target ground truth images from source images based on interaction commands. This invention can respond to commands to perform high-quality interactive editing of completely unfamiliar people and pets outside the training set.

The application discloses a road distortion correction method based on DEM interactive editing and local orthographic updating, and relates to the technical field of remote sensing image processing, digital photogrammetry and surveying and mapping production. The method comprises the following steps: importing original images, an initial DOM, a DEM and positioning parameters; identifying a road distortion area in the DOM, and expanding the road distortion area to form a local updating window and an edge transition zone; constructing a road target elevation surface based on surrounding stable sample points and smooth continuity constraints; locally correcting the DEM based on the elevation surface, and connecting the DEM in the edge transition zone in a gradual manner; performing orthographic inverse solution calculation and resampling on only the pixels in the local updating window based on the corrected DEM; and finally generating an updating mask according to the edge transition zone, and writing the local orthographic result back to the initial DOM. The application restores the correct spatial correspondence between the road and surrounding objects from the three-dimensional geometric source by correcting the DEM instead of pasting images, and takes into account the geometric accuracy, edge continuity and production efficiency without recalculation of the whole scene image.

A method of generating a data set for training an AI model to generate caricatures by interactive editing of an input reference image of a subject. The method comprises processing a facial image to identify facial landmarks and defining the landmarks as a plurality of source points; defining a plurality of target points corresponding to a location of the source points after deformation of the facial image; relating the source points to landmark information comprising a text-based description of the facial feature in which the source points are located; and relating the target points to distorted landmark information comprising a text-based description of a distorted facial feature in which the source points were located. There is also provided a method of training an AI model to generate caricatures, a method of implementing an AI model trained to generate caricatures, and a device configured to operate to implement the method.

This invention provides an interactive editing and visual analysis system for time series data, belonging to the field of data privacy protection. The visual analysis system includes ranking views, flow views, radial views, pattern views, editing views, and component views. Combining domain knowledge, it performs linked detection and visual localization of privacy risks in time series data from three dimensions: time, amplitude, and pattern. Through interactive editing in each view module, it provides three types of direct manipulation editing tools: time perturbation, amplitude perturbation, and pattern replacement. This allows users to precisely modify identified sensitive segments and supports batch processing of multiple time series and fine-grained editing of series trends and residual components. The modules are closely linked through data and events, forming a complete closed loop of "identification-editing-verification," effectively masking individual privacy characteristics while maximizing the overall utility and statistical authenticity of the time series data.

The application discloses a feature-driven point cloud completion method and system for a CAD parameterized model, relates to the technical field of three-dimensional geometry processing and computer vision, and comprises the following steps: constructing a multi-source feature line collection and standardization system, obtaining feature line candidates through multiple paths such as analysis of CAD information, mesh point cloud geometric clues and interactive editing rules, and outputting a unified format feature representation after consistency evaluation, cleaning and repairing; designing a local feature extraction method based on adaptive weights of multiple relationships, dynamically adjusting weights according to the relationship between target points and neighbor points in three-dimensional space and high-dimensional feature space in a DGCNN framework, and quantifying the contribution of each neighbor point to the local feature of the target point; and proposing a feature line deep information injection technology, fusing feature line geometric information into a point cloud completion deep learning model through an encoder, using a feature line weighted chamfer distance loss function to strengthen the fidelity of boundary and acute angle regions, and effectively improving the accuracy and geometric detail retention capability of point cloud completion.

The application discloses a 3D model labeling system, method, device and medium based on TPRI-DataVue, and belongs to the technical field of three-dimensional model labeling. The tool comprises a basic scene rendering module, a three-dimensional model labeling and analysis module, a component data driving module, a platform component interaction module and an interactive editing module. The basic scene rendering module introduces a 3D model through a file system and provides a light, glow and style customization system; the three-dimensional model labeling and analysis module analyzes a model hierarchical structure and supports custom attribute modification and label addition; the component data driving module constructs a data driving system based on an MVC model, realizes scene update triggered by data change through a Proxy class agent; the platform component interaction module realizes mutual nesting and data exchange linkage with other components; and the interactive editing module provides a mouse event editing system and a camera roaming function. The application solves the technical problems of poor interactivity, low customization degree and weak compatibility with platform components of a traditional 3D model labeling tool, and can be applied to the fields of three-dimensional visualization and industrial design.

The application relates to the technical field of image processing, and discloses a real scene image interactive editing method and system based on semantic segmentation. The method comprises the following steps: obtaining a target object real scene image, and performing superpixel pre-segmentation to obtain a spectral segmentation region; constructing a semantic correlation topological graph by taking an initial unit of the region as a node and taking semantic similarity and spatial adjacency between nodes as edges; demarcating a semantic boundary according to node connection strength, and generating a constraint semantic mask; in response to a user's interactive operation on the mask, analyzing spatial mapping parameters and constructing a nonlinear deformation field, rearranging a semantic object space of the real scene image according to the nonlinear deformation field, and obtaining intermediate image data; carrying out anisotropic diffusion processing on pixel gradient of a deformation region based on the data, and obtaining a texture smooth image; and carrying out multi-band fusion with a background layer of the real scene image, correcting tone consistency, and outputting an interactive real scene image of the target object. The application can improve the efficiency of real scene image interactive editing based on semantic segmentation.