304 results about "Text editing" patented technology

The invention relates to the technical field of semantic recognition, can be applied to business scenes such as financial science and technology and medical health, and discloses an interactive code generation method, device and equipment and a medium. And a visual preview interface is generated in combination with the context, multi-round modification through interactive adjustment or text editing is supported, and finally user interface element codes are generated. According to the method, natural language processing, context sensing and visual interactive correction are combined, so that the closed-loop process of interface codes from generation to dynamic adjustment is realized, the customization degree and the service adaptability of a generated result are improved, and the problems that an existing tool template is rigid, semantic understanding is deviated, and a multi-round correction mechanism is lacked are solved.

The invention provides a method for editing facial image attributes based on a text of a diffusion model. The method realizes flexible facial editing with high quality and identity consistency. The method comprises the following steps: constructing a description control face diffusion model comprising a noise prediction network and a variational auto-encoder, wherein the noise prediction network comprises a plurality of text alignment face Transform modules and an optimization residual feature module; the method comprises the following steps: inputting an original image and target text description based on a pre-training model, optimizing a target embedding generated by the input target text description by a text alignment face Transform module to obtain an optimized embedding, and performing model fine tuning after optimization is completed; and performing linear interpolation on the target embedding and the optimized embedding to obtain an initial editing result, introducing ArcFace-Loss as identity loss, extracting face features of an original image and the initial editing result through a pre-training model, calculating feature similarity and minimizing the loss, and ensuring consistency of face identities after editing.

The invention discloses an engineering design document compliance inspection method, electronic equipment and a storage medium, and the method is based on an OCR and a large language model, and comprises the following steps: standardizing the character recognition and extraction of a document; standardizing character error check and manual correction of the text; performing structured processing on the corrected standard text; vectorization processing of core text content and construction of a standard query system; presetting a specification set range corresponding to each chapter of the design document; carrying out vectorization and similarity query on characters selected by a user in the text editor; corresponding standard content is provided for the user; the method can improve the efficiency and accuracy of specification reference in the document, facilitates the dynamic update management of specification contents, and facilitates the guarantee of the correctness of reference specifications.

A data processing system implements receiving a user marking of a textual area in a graphic design image; constructing a prompt including the image, the marking, and instructions to a generative model to identify character(s) in the area, to determine design context attribute(s) of the character(s) with respect to the image, and to create a new image based on one changed design context attribute, the attribute(s) including a character design and semantics of the character(s), and a position of the area in the image; providing the prompt to the model and receive the character(s), the attribute(s), and the new image; providing the character(s), the attribute(s), and the new image to a client device; and causing the client device to display at least one of the new image or an editable text box over the area in the image, the box showing the character(s) based on the attribute(s).

The invention discloses a stylized visual text editing method, a stylized visual text editing system, stylized visual text editing equipment and a storage medium, which are corresponding schemes, and the related schemes aim to solve the problem of style consistency existing in image text editing of an existing diffusion model, and the stylized visual text editing efficiency is improved by combining visual features of a font image and an input text image. The method comprises the following steps of: extracting style embedded information from a text image, and inputting the style embedded information as an enhanced style condition into a diffusion model to realize fine control on a diffusion process, so that the diffusion model can generate a text image with high readability and style consistency, and can realize maintenance of an original text style or style migration based on a reference image.

The invention relates to the technical field of small sample image classification, in particular to a small sample classification method for multi-granularity image-text prototype matching based on a task-driven structure. The method comprises the following steps: constructing a support set and a query set; inputting the two features into a multi-granularity feature set extraction network, and extracting low-level, middle-level and high-level image features by a multi-level image feature extraction network consisting of an image modal input improved ResNet12 and an embedded task-driven mapper selection module; the text mode calls a large language model (LLM) three times successively to progressively generate word-level, sentence-level and paragraph-level semantic descriptions, and a text editor is combined to form multi-view text features; the image and text feature set is input into a semantic graph interactive fusion network, and multi-level information fusion is realized through node and edge construction, cross-modal attention, graph convolution and a gating mechanism; the matching score of each layer is calculated through the fusion features through a multi-granularity prototype matching network, so that classification prediction is carried out, and the performance of the model is optimized by adopting a multi-granularity composite weighted loss function in a training stage.

The invention provides an intelligent speech recognition editor capable of efficiently processing large-scale texts. Belongs to the technical field of speech recognition and text editing. The editor comprises a voice recognition module which is used for receiving audio input, converting the audio input into a text and transmitting the text to a front end in real time through WebSocket / SSE; the text editing module is used for rendering and editing a text through a WebAssembly + virtualization technology; the data storage module is used for carrying out text caching by using IndexedDB / Local Storage; and the front-end UI interaction module is used for carrying out task distribution by adopting React / Vue in combination with WebWorker. According to the method, only the currently visible text area is rendered by adopting a block rendering technology and a virtualization technology, and the historical text is loaded as required in a lazy loading mode, so that the processing of million-level characters can be easily supported, and smooth operation and no blockage of an editor are ensured.

The invention discloses a rich text editing content isolation rendering method, device and system and a storage medium, and relates to the technical field of data processing. The method comprises the steps of obtaining rich text content, and preprocessing the rich text content to obtain preprocessed content; judging browser compatibility, and selecting an isolation rendering method according to the browser compatibility; and performing isolated rendering on the preprocessed content according to the isolated rendering method. By adopting the rich text editing content isolation rendering method provided by the embodiment of the invention, correct and consistent rendering effects of the rich text content on different browsers can be ensured, and the rich text content is effectively isolated from other page elements, so that potential safety risks are avoided, and the user experience is improved. According to the embodiment of the invention, the condition that the content is cut off or a scroll bar appears is avoided, the click experience of the user can be further optimized, and unnecessary page redrawing and rearrangement are reduced, so that the rendering performance of the page is improved, and the difficulty of subsequent maintenance and modification is reduced.

The present disclosure relates to systems, methods, and non-transitory computer readable media for utilizing a diffusion prior neural network for text guided digital image editing. For example, in one or more embodiments the disclosed systems utilize a text-image encoder to generate a base image embedding from the base digital image and an edit text embedding from edit text. Moreover, the disclosed systems utilize a diffusion prior neural network to generate a text-image embedding. In particular, the disclosed systems inject the base image embedding at a conceptual editing step of the diffusion prior neural network and condition a set of steps of the diffusion prior neural network after the conceptual editing step utilizing the edit text embedding. Furthermore, the disclosed systems utilize a diffusion neural network to create a modified digital image from the text-edited image embedding and the base image embedding.

The invention discloses an intelligent vehicle elastic planning and control method based on large language model guidance under network attack, and belongs to the field of vehicle information safety and control, and the method specifically comprises the steps: firstly, building an intelligent vehicle auxiliary decision making and control system, and installing the system on a to-be-detected vehicle; the automatic driving decision-making unit generates an expected driving intention of the current to-be-detected period; the path planning unit generates a corresponding reference trajectory sequence. A vehicle reachable set estimator calculates a maximum allowable motion reachable range. The scene text editor completes scene description of the driving environment in combination with the perception information and converts the scene description into a structured text; the large language model performs comprehensive judgment on an expected driving intention and a planned reference trajectory sequence based on a maximum allowable motion reachable range and structured text description, and gives a final auxiliary decision variable. And based on the reachable set estimation value, constructing a vehicle motion controller based on data driving, and obtaining a control instruction to complete execution. According to the invention, the adaptability and robustness of the real vehicle operation environment are improved.

The invention provides a rich text editor component, a structured exporting method and a content editing system, and relates to the technical field of computers. According to the method, a componentization packaging module is used for packaging a rich text editor core library into a single file component based on a front-end componentization framework and completing initialization and destruction of an editor instance in the life cycle of the single file component; the attribute parameter module is used for defining and receiving configuration parameters from the upper calling component, and the configuration parameters at least comprise an editor mode type, a content export format and a remote content address; the core logic module is used for realizing key operation logic of the editor; and the business editor module is used for calling the rich text editor component in a declarative mode in a business application page, so that rapid integration without compiling bottom layer codes is realized. According to the embodiment of the invention, the development efficiency and function flexibility of the rich text editor can be improved.

Systems, methods and non-transitory computer readable media for editing user interfaces from free text and / or sketches are provided. Digital data associated with a design of a user interface may be received. A presentation of the user interface based on the design may be caused. A selection of a portion of the user interface may be received. A textual input in a natural language and / or a sketch may be received. The textual input and / or the sketch may be analyzed to determine at least one change to a portion of the design of the user interface corresponding to the selected portion of the user interface. The determined at least one change may be implemented to generate a modified design of the user interface. A second presentation of the user interface based on the modified design may be caused.

Systems and methods are provided for generic text-driven image editing, and example implementations of these systems and methods may be referred to as' UniTune '. The UniTune may receive any image and text edit description as input, and may perform edit while maintaining high semantics and visual fidelity of the input image. The UniTune does not require any additional input such as a mask or sketch. According to one aspect of the present disclosure, by properly selecting parameters, an example system described herein may fine-tune a large diffusion model (e.g., Image) on a single image, causing the model to visually and semantically remain fidelity to the input image while still allowing expressive operation.

The present disclosure describes a technical solution that enables a trained large language model (LLM) to generate a revised text in a manner that enables the LLM to preserve formatting that was present in the original text. When a text-editing instruction is received for a text passage having a formatting tag, the text passage is processed to identify the formatting tag in the text passage. The LLM is prompted to generate a revised text passage, using a prompt that includes the text-editing instruction and that also includes a formatting-specific instruction to format the revised text passage using the formatting tag in the revised text passage. The revised text passage is received and caused to be displayed based on the formatting tag, such that the formatting of the original text is maintained.

To provide a verification apparatus, a verification method, and a verification program that are capable of verifying contents of sentences such as outputs of large language models, which superficially appear to be natural but include false contents, and performing appropriate processing.SOLUTION: A verification apparatus 64 includes: a text selection unit 132 that extracts a verification target portion from an inputted text; a support network creation unit 134 and a contradiction network creation unit 136 that are for collecting, from a set of existing texts, a support text that supports contents of the verification target portion and a contradiction text that contradicts the contents of the verification target portion; and a text editing device 108 that selectively executes, on the basis of whether or not a prescribed relationship is established between the support text and the contradiction text that are collected, processing for maintaining the verification target portion and processing for editing the verification target portion.SELECTED DRAWING: Figure 1

The invention relates to the technical field of data processing and report generation, in particular to a reasonable drug use report generation method and system combined with artificial intelligence. The method comprises the following steps of: selecting a report type; constructing a report analysis model and analyzing report data; intensively analyzing report data by utilizing a domain knowledge graph; generating a structured report; according to feedback information of the user, an algorithm for report analysis and report generation is optimized; editing a data part and a conclusion part of the report by utilizing the two rich text editing areas; rejecting report contents which do not need to be displayed; and exporting a final editing result. In combination with an artificial intelligence technology, the method is used for automatically analyzing report data and generating a report, so that the analysis efficiency and accuracy are improved; by introducing a self-learning mechanism, a report analysis and generation algorithm is optimized, and the report generation quality is improved; by providing a friendly interface and a rich editing function, personalized requirements of different users are met, and the method has a wide application prospect in the medical field.

The invention discloses a model training method and device and an image processing method and device, and belongs to the technical field of image processing. The method comprises the following steps: acquiring a reference image data set; wherein the reference image data set is used for extracting a photography concept function, the photography concept function comprises an adjustment function and a weighting function, and the adjustment function is used for adjusting image colors and details; adjusting the initial diffusion model based on the photography concept function and a text editing instruction corresponding to the photography concept function to obtain an adjusted diffusion model; and training the adjustment diffusion model based on the training data set to obtain a target diffusion model.

Embodiments of the present invention relate to a text processing method and apparatus, a device, and a medium. The method comprises: displaying initial text on a text editing page, wherein the initial text is generated on the basis of text description information, and the text description information is used for describing a condition that the initial text needs to match; in response to a text generation operation on first text content in the initial text, generating second text content on the basis of the first text content, wherein the first text content is the same as part of the second text content; in response to a replacement operation on the second text content, replacing the first text content in the initial text with the second text content to obtain target text; and generating a draft video on the basis of the target text, wherein the draft video comprises at least one text edition segment generated on the basis of the target text. The present invention enriches text processing related functions of multimedia resources, thereby satisfying higher-level editing requirements and interaction requirements of a user on text generation.

The invention relates to the technical field of cross-modal large models, and discloses a multi-modal large model reasoning optimization method based on adaptive fact guidance, and the method comprises the steps: obtaining visual image data and problem text data, and constructing a query vector; generating a textual fact description according to the real label of the visual image, extracting trusted activation and untrusted activation by combining the visual image and the problem text, and generating a visual-text editing vector; and inputting the query vector into a visual language large model to extract a hidden state in a forward propagation process, and correcting the extracted hidden state by using the visual-text editing vector to generate an optimized answer text. On the premise of not sacrificing the reasoning efficiency, the method adaptively guides the biased activation state of the model to the fact semantic direction, thereby realizing efficient and accurate illusion relief.

The invention provides a Java editor plug-in implementation method and system based on an Eclipse platform, and the method comprises the steps: carrying out the initialization configuration and registration of a plug-in, constructing a text editor interface capable of embedding Eclipse, achieving a grammar highlighting function, achieving a code completion function, achieving a code formatting function, and carrying out the deployment and operation of the plug-in. According to the mode, a novel plug-in system independent of a native JDT editor is constructed, visual editing of the. Java file is achieved, core functions such as grammar highlighting, code complementing and code formatting are integrated, meanwhile, butt joint with a JDT language server is supported to improve semantic analysis capacity, and finally on the premise that lightweight deployment and high compatibility are guaranteed, the semantic analysis capability of the. Java file is improved. And the Java development efficiency and the user experience are improved. By means of the technical scheme, the technical problems that in the prior art, an Eclipse Java editor plug-in is low in function integration level, insufficient in semantic support and lack of key editing functions are solved.

A text editor or a plugin thereto automatically generates authorship tokens to identify content authored by a human author or an artificial author. The authorship tokens are applied to the work while the work is being produced. Thus, subsequent review of the work can identify regions produced by a human author and other regions produced by an artificial intelligence.

Provided are a verification apparatus, a verification method, and a verification program that are capable of verifying contents of sentences such as outputs of large language models, which superficially appear to be natural but include false contents, and performing an appropriate process. A verification apparatus 64 comprises: a text selection unit 132 which extracts a verification target portion from an inputted text; a support network creation unit 134 and a contradiction network creation unit 136 which are for collecting, from a set of existing texts, a support text which supports the contents of the verification target portion and a contradiction text which contradicts the contents of the verification target portion; and a text editing device 108 which selectively executes, on the basis of whether or not a prescribed relationship is established between the support text and the contradiction text having been collected, a process for maintaining the verification target portion or a process for editing the verification target portion.

The invention provides a formula real-time editing and rendering method of a rich text editor, which specifically comprises the following steps of: acquiring an input formula code of a user, performing incremental rendering, identifying a formula structure through an incremental analysis algorithm based on an abstract syntax tree (AST), and generating intermediate representation data; integrating text paragraphs and formula nodes into a single data stream, wherein each formula node stores the input formula code, the AST, the intermediate representation data and a rendering vector graph; and according to the difference comparison result of the AST, a GPU acceleration interface is called to carry out local redrawing on the change part, and the rendering result is updated and inserted into the cursor position of the rich text editor, so that the real-time editing and rendering method is simple in process and good in editing and rendering effect. The invention further provides a formula real-time editing and rendering system of the multi-platform adaptive rich text editor, computer equipment and a readable storage medium.

An interactive coding environment is provided via an integrated mobile application. The interactive coding environment includes multiple user interface input elements including, but not limited to, a text editor, a virtual keyboard, a virtual autocomplete toolbar, a quick actions toolbar, and a virtual joystick. A user interacts with the coding environment via their user device, such as a mobile device. While coding within the text editor, the user is provided with auto-complete code suggestions and / or code snippets. Suggested inputs are obtained from a predictive model based on the user's input. A virtual joystick is provided to enable easy navigation within a text document shown within the text editor.

The invention discloses an online response system for online text editing, relates to the technical field of online response, and solves the technical problems of insufficient context understanding depth and subjective result integration decision. And establishing a scene-keyword mapping library and a three-dimensional sorting retrieval mechanism, optimizing a retrieval keyword by fusing context information in an associated scene so as to enable response to meet real-time requirements of a user, and avoiding a non-response condition through scene positioning and fuzzy association in a non-associated scene, so that the user experience is improved. A matching degree score, a knowledge base source authority degree, an interaction preference matching degree and a historical behavior tendency degree are incorporated into a scoring model, subjective rules are replaced by objective data, decision-making is dynamically performed based on score difference, decision-making deviation caused by a single index is avoided, the user recognition degree of a conflict processing result is improved, and the user experience is improved. And meanwhile, the credibility of the result is enhanced by processing the process traceability label.

The computer-implemented method for processing text data includes receiving text data, receiving a set of descriptions for editing the text data, and generating a set of functions corresponding to the set of descriptions. The process of generating the set of functions for each description in the set of descriptions includes generating a computer code representing a function from the set of functions for processing the text data using a machine learning language model. Further, the method includes applying each one of the set of functions to the text data to generate output text data.

The embodiment of the invention provides an image editing method and device, a storage medium and a program product. In the embodiment of the invention, a plurality of first interface elements pointing to different style reference information and style generation modes and a plurality of second interface elements pointing to different copywriting reference information and copywriting generation modes are provided on an image editing page; the style reference information and the style generation mode are obtained through the first interface element, the copywriting reference information and the text style generation mode are obtained through the second interface element, flexible selection is provided for users, and different user requirements are met; the image-text editing model is called from the two dimensions of the text style and the copywriting content for text editing, automation of text editing is achieved, consumed time is short, and the text editing effect is good.

Provided are improved machine learning-based text editing models. Specifically, example implementations include a flexible semi-auto-regressive text-editing approach for generation, designed to derive the maximum benefit from non-auto-regressive text-editing and autoregressive decoding. In contrast to conventional sequence-to-sequence (seq2seq) models, the proposed approach is fast at inference time, while being capable of modeling flexible input-output transformations.

A system for contextual matching video content based on multimodal metadata extraction generated by processing one or more scenes to extract metadata corresponding to multiple extraction modes, and an embedding model for each extraction mode wherein an aggregated embedding model responsive to said metadata embeddings for each mode formulates an aggregated embedding with an embedding extractor responsive to a text input with an embedding model coordinated with said embedding model wherein said embeddings are in the form of a vector, and a vector comparison processor for determining the distance between the query vector and a vector representing the aggregated embedding. The coordination between embedding models is established by training. The embedding extractor may accept a free-form text query and present one or more subqueries for embedding. A textual inversion engine may be provided to generate an image from the embeddings to provide feedback to a user. In this way a user can confirm the effectiveness of the text query. A text editor may be provided for a user to enter and to edit a query.

1. The name of the design product: the main body of the dialogue graphical user interface of an electronic device. 2. The use of the design product: for an electronic device. 3. The design points of the design product: the protected part of the graphical user interface in the electronic device. 4. The picture or photo that best shows the design points: change state figure 1. 5. The use of the graphical user interface: the graphical user interface is used for dialogue. The protected part of the graphical user interface is used for dialogue and text editing. The graphical user interface can be interacted with by the user clicking on it or by operating the mouse or tapping the keyboard. The main view shows the main body of the graphical user interface, which includes an editing area on the left and a dialogue area on the right; by selecting part of the text in the editing area and clicking the "AI adjustment" button in the floating toolbar, the graphical user interface changes from the main view to change state figure 1; by selecting an option in the drop-down menu of the "AI adjustment" button, such as "a little richer", the graphical user interface changes from change state figure 1 to change state figure 2, and the selected text in the editing area is replaced by the text modified by AI adjustment. 6. Other circumstances that need to be explained: the part of the graphical user interface shown by the dashed line in each view does not constitute the protected part of the design.