Generative adversarial network implemented digital script modification.

Generative adversarial network implemented digital script modification

Номер патента: GB202403627D0
Опубликовано: 24-04-2024
Автор(ы):
Принадлежит: International Business Machines Corp

Рисунок 1. Взаимосвязь патентов (ближайшие 20).

Generative adversarial network implemented digital script modification

Номер патента: US11989509B2. Автор: Samuel Mathew Jawaharlal,Sathya Santhar,Sarbajit K. Rakshit,Sridevi Kannan. Владелец: International Business Machines Corp. Дата публикации: 2024-05-21.

Generative adversarial network implemented digital script modification

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Generative adversarial network based digital image enhancement through distributed resources

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Script modification

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Finding Complementary Digital Images Using a Conditional Generative Adversarial Network

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Message authentication using generative adversarial networks

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Script modification

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Restoration of artwork using generative adversarial networks

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Noise suppression method and system for inverse synthetic aperture radar micro-cluster objects using generative adversarial network

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Geological feature detection using generative adversarial neural networks

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Generating geological facies models with fidelity to the diversity and statistics of training images using improved generative adversarial networks

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Generative adversarial networks (GANs) for simulating specimen images

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Method and apparatus for synthesizing realistic hand poses based on blending generative adversarial networks

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Generative adversarial network based identification of induced deformation in three-dimensional object

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Panoptic generative adversarial network with explicit modeling of category and instance information

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Unsupervised coal flow anomaly detection method based on a generative adversarial learning

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METHOD AND SYSTEM FOR GENERATING USER DRIVEN ADAPTIVE OBJECT VISUALIZATIONS USING GENERATIVE ADVERSARIAL NETWORK MODELS

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Systems and methods of generating color palettes with a generative adversarial network

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IMAGE EDITOR FOR MERGING IMAGES WITH GENERATIVE ADVERSARIAL NETWORKS

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Virtual staining of cells in digital holographic microscopy images using general adversarial networks

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Training gan (generative adversarial networks) to create pixel-by-pixel annotation

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Configuring Computational Elements for Performing a Training Operation for a Generative Adversarial Network

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Radiotherapy treatment plan modeling using generative adversarial networks

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Synthetic banknote data generation using a generative adversarial network with spatially composited multispectral data

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Generative adversarial-based attack in federated learning

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Quantum generative adversarial networks with provable convergence

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System implementing generative adversarial network adapted to prediction in behavioral and/or physiological contexts

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Key Generation Method Based On Deep Learning Generative Adversarial Network

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Generative adversarial network for video compression

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Phishing mail generator with adaptive complexity using generative adversarial network

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Method for generating functional protein sequences with generative adversarial networks

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Generative adversarial networks for synthetic data generation satisfying differential privacy

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Multi-domain generative adversarial networks for synthetic data generation

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Generative adversarial-based attack in federated learning

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Generative adversarial network for urine biomarkers

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System and method for nowcasting rainfall by region based on expansion of cycle-generative adversarial network

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Low Power Generative Adversarial Network Accelerator and Mixed-signal Time-domain MAC Array

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Aptameric peptide library formation using generative adversarial network (gan) machine learning models

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Camera depth prediction using generative adversarial network

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Distributed generative adversarial networks suitable for privacy-restricted data

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Power grid assets prediction using generative adversarial networks

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Training generative adversarial networks

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Cross-Domain Image Analysis and Cross-Domain Image Synthesis Using Deep Image-to-Image Networks and Adversarial Networks

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Cross-domain image analysis using deep image-to-image networks and adversarial networks

Номер патента: EP3511942C0. Автор: Shaohua Kevin Zhou,Rui Liao,Yefeng Zheng,Shun Miao,Ahmet TUYSUZOGLU. Владелец: Siemens Healthcare GmbH. Дата публикации: 2023-11-01.

Cross-domain image analysis using deep image-to-image networks and adversarial networks

Номер патента: EP3511942B1. Автор: Shaohua Kevin Zhou,Rui Liao,Yefeng Zheng,Shun Miao,Ahmet TUYSUZOGLU. Владелец: Siemens Healthcare GmbH. Дата публикации: 2023-11-01.

Improved generative adversarial networks having ranking loss

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Generative adversarial networks having ranking loss

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Using generative adversarial networks (gans) to enable sharing of sensitive data

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Edge Device for Executing a Lightweight Pattern-Aware generative Adversarial Network

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LEARNING METHOD AND LEARNING DEVICE FOR GENERATING TRAINING DATA FROM VIRTUAL DATA ON VIRTUAL WORLD BY USING GENERATIVE ADVERSARIAL NETWORK, TO THEREBY REDUCE ANNOTATION COST REQUIRED IN TRAINING PROCESSES OF NEURAL NETWORK FOR AUTONOMOUS DRIVING, AND A TESTING METHOD AND A TESTING DEVICE USING THE SAME

Номер патента: US20200242479A1. Автор: Lee Hyungsoo,Shin Dongsoo,KIM Kye-hyeon,Cho Hojin,Kim Yongjoong,Kim Hak-Kyoung,Nam Woonhyun,Boo SukHoon,Sung Myungchul,Yeo Donghun,Ryu Wooju,Lee Myeong-Chun,Jang Taewoong,Jeong Kyungjoong,Je Hongmo. Владелец: STRADVISION, INC.. Дата публикации: 2020-07-30.

Learning method and learning device for generating training data from virtual data on virtual world by using generative adversarial network, to thereby reduce annotation cost required in training processes of neural network for autonomous driving, and a testing method and a testing device using the same

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Learning method and learning device for generating training data from virtual data on virtual world by using generative adversarial network, to thereby reduce annotation cost required in training processes of neural network for autonomous driving, and a testing method and a testing device using the same

Номер патента: US20200242479A1. Автор: Kye-Hyeon Kim,Hak-Kyoung Kim,Sukhoon Boo,Myungchul Sung,Dongsoo Shin,Donghun Yeo,Wooju Ryu,Myeong-Chun Lee,Hyungsoo Lee,Taewoong Jang,Kyungjoong Jeong,Hongmo Je,Hojin Cho,Yongjoong Kim,Woonhyun Nam. Владелец: Stradvision Inc. Дата публикации: 2020-07-30.

EXPLANATIONS GENERATION WITH DIFFERENT COGNITIVE VALUES USING GENERATIVE ADVERSARIAL NETWORKS

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Coordinates-based generative adversarial networks for generating synthetic physical design layout patterns

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Question Answering Using Trained Generative Adversarial Network Based Modeling of Text

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Generative Adversarial Network Based Modeling of Text for Natural Language Processing

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GENERATIVE ADVERSARIAL NETWORK ENRICHED DRIVING SIMULATION

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CONVOLUTIONAL RECURRENT GENERATIVE ADVERSARIAL NETWORK FOR ANOMALY DETECTION

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IMPROVED GENERATIVE ADVERSARIAL NETWORKS HAVING RANKING LOSS

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APPARATUS AND METHODS FOR CONVERTING LINELESS TABLES INTO LINED TABLES USING GENERATIVE ADVERSARIAL NETWORKS

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USING A GENERATIVE ADVERSARIAL NETWORK TO TRAIN A SEMANTIC PARSER OF A DIALOG SYSTEM

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GENERATING A DIGITAL IMAGE USING A GENERATIVE ADVERSARIAL NETWORK

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UPSAMPLING OF AUDIO USING GENERATIVE ADVERSARIAL NETWORKS

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NEURAL TYPOGRAPHICAL ERROR MODELING VIA GENERATIVE ADVERSARIAL NETWORKS

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Using a Generative Adversarial Network for Query-Keyword Matching

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METHOD AND DEVICE FOR GENERATIVE ADVERSARIAL NETWORK TRAINING

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USER-FRIENDLY EXPLANATION PRODUCTION USING GENERATIVE ADVERSARIAL NETWORKS

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Latent Space and Text-Based Generative Adversarial Networks (LATEXT-GANs) for Text Generation

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UNSUPERVISED ANOMALY DETECTION USING GENERATIVE ADVERSARIAL NETWORKS

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Image Transformation with a Hybrid Autoencoder and Generative Adversarial Network Machine Learning Architecture

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STORAGE RECOMMENDER SYSTEM USING GENERATIVE ADVERSARIAL NETWORKS

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GENERATIVE ADVERSARIAL NETWORK BASED PREDICTIVE MODEL FOR COLLABORATIVE INTRUSION DETECTION SYSTEMS

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GENERATIVE ADVERSARIAL NETWORK TRAINING AND FEATURE EXTRACTION FOR BIOMETRIC AUTHENTICATION

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SIMULATING AND POST-PROCESSING USING A GENERATIVE ADVERSARIAL NETWORK

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System, Method, and Computer Program Product for Implementing a Generative Adversarial Network to Determine Activations

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GENERATIVE ADVERSARIAL NETWORKS IN PREDICTING SEQUENTIAL DATA

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Tunable generative adversarial networks

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GENERATING A DIGITAL IMAGE USING A GENERATIVE ADVERSARIAL NETWORK

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GENERATIVE ADVERSARIAL NETWORK (GAN)-BASED SYSTEM FOR GENERATING COLOR IMAGE FROM EDGE IMAGE

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Computer resource scheduling using generative adversarial networks

GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING PHYSICAL DESIGN LAYOUT PATTERNS

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DESIGN OF MICROSTRUCTURES USING GENERATIVE ADVERSARIAL NETWORKS

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CATEGORICAL ELECTRONIC HEALTH RECORDS IMPUTATION WITH GENERATIVE ADVERSARIAL NETWORKS

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Neural typographical error modeling via generative adversarial networks

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System for predictive maintenance using generative adversarial networks for failure prediction

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Using a generative adversarial network for query-keyword matching

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Fruit tree disease Classification System AND METHOD Using Generative Adversarial Networks

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Generative adversarial network training method, image face swapping method and apparatus, and video face swapping method and apparatus

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System and Method for correcting Context sensitive spelling error using Generative Adversarial Network

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Privatized machine learning using generative adversarial networks

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Three-dimensional printing using generative adversarial network techniques

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Mock data generator using generative adversarial networks

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MULTI-SCALE TEXT FILTER CONDITIONED GENERATIVE ADVERSARIAL NETWORKS

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Differential Privacy Processing of IoT Streaming Data Using Generative Adversarial Networks

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GENERATIVE ADVERSARIAL NETWORK MODEL TRAINING USING DISTRIBUTED LEDGER

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GENERATIVE ADVERSARIAL NETWORKS FOR GENERATING PHYSICAL DESIGN LAYOUT PATTERNS OF INTEGRATED MULTI-LAYERS

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Generative adversarial inverse trajectory optimization for probabilistic vehicle forecasting

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