ZA202207738B - A text-generated image approach based on spectrally normalized hierarchical generative adversarial networks - Google Patents

A text-generated image approach based on spectrally normalized hierarchical generative adversarial networks

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Publication number
ZA202207738B
ZA202207738B ZA2022/07738A ZA202207738A ZA202207738B ZA 202207738 B ZA202207738 B ZA 202207738B ZA 2022/07738 A ZA2022/07738 A ZA 2022/07738A ZA 202207738 A ZA202207738 A ZA 202207738A ZA 202207738 B ZA202207738 B ZA 202207738B
Authority
ZA
South Africa
Prior art keywords
text
generated image
approach based
generative adversarial
adversarial networks
Prior art date
Application number
ZA2022/07738A
Inventor
Xinzhong Zhu
Huiying Xu
Xia Wang
Shihao Dong
Lintong Jin
Jianmin Zhao
Original Assignee
Univ Zhejiang Normal
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Univ Zhejiang Normal filed Critical Univ Zhejiang Normal
Publication of ZA202207738B publication Critical patent/ZA202207738B/en

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/045Combinations of networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0475Generative networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/08Learning methods
    • G06N3/094Adversarial learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T3/00Geometric image transformation in the plane of the image
    • G06T3/40Scaling the whole image or part thereof
    • G06T3/4053Super resolution, i.e. output image resolution higher than sensor resolution
    • G06T3/4076Super resolution, i.e. output image resolution higher than sensor resolution by iteratively correcting the provisional high resolution image using the original low-resolution image
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/44Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/0464Convolutional networks [CNN, ConvNet]
ZA2022/07738A 2021-01-25 2022-07-12 A text-generated image approach based on spectrally normalized hierarchical generative adversarial networks ZA202207738B (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110096097.0A CN112884856B (en) 2021-01-25 2021-01-25 Text generation image method for generating countermeasure network based on spectrum normalization hierarchy
PCT/CN2021/132387 WO2022156350A1 (en) 2021-01-25 2021-11-23 Text-to-image method based on spectrum normalization stack generative adversarial network

Publications (1)

Publication Number Publication Date
ZA202207738B true ZA202207738B (en) 2022-07-27

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Family Applications (1)

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ZA2022/07738A ZA202207738B (en) 2021-01-25 2022-07-12 A text-generated image approach based on spectrally normalized hierarchical generative adversarial networks

Country Status (4)

Country Link
CN (1) CN112884856B (en)
LU (1) LU502833B1 (en)
WO (1) WO2022156350A1 (en)
ZA (1) ZA202207738B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116681604A (en) * 2023-04-24 2023-09-01 吉首大学 Qin simple text restoration method based on condition generation countermeasure network

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112884856B (en) * 2021-01-25 2023-06-02 浙江师范大学 Text generation image method for generating countermeasure network based on spectrum normalization hierarchy
CN113537416A (en) * 2021-09-17 2021-10-22 深圳市安软科技股份有限公司 Method and related equipment for converting text into image based on generative confrontation network
CN113570003B (en) * 2021-09-23 2022-01-07 深圳新视智科技术有限公司 Feature fusion defect detection method and device based on attention mechanism
CN113918716B (en) * 2021-10-14 2023-06-02 中山大学 Method and device for constructing generated countermeasure topic model based on spectrum norm normalization
CN116309913B (en) * 2023-03-16 2024-01-26 沈阳工业大学 Method for generating image based on ASG-GAN text description of generation countermeasure network
CN116736372B (en) * 2023-06-05 2024-01-26 成都理工大学 Seismic interpolation method and system for generating countermeasure network based on spectrum normalization
CN116958468A (en) * 2023-07-05 2023-10-27 中国科学院地理科学与资源研究所 Mountain snow environment simulation method and system based on SCycleGAN

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111738940B (en) * 2020-06-02 2022-04-12 大连理工大学 Eye filling method for face image
CN111968193B (en) * 2020-07-28 2023-11-21 西安工程大学 Text image generation method based on StackGAN (secure gas network)
CN112884856B (en) * 2021-01-25 2023-06-02 浙江师范大学 Text generation image method for generating countermeasure network based on spectrum normalization hierarchy

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116681604A (en) * 2023-04-24 2023-09-01 吉首大学 Qin simple text restoration method based on condition generation countermeasure network
CN116681604B (en) * 2023-04-24 2024-01-02 吉首大学 Qin simple text restoration method based on condition generation countermeasure network

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Publication number Publication date
LU502833B1 (en) 2023-01-26
CN112884856B (en) 2023-06-02
CN112884856A (en) 2021-06-01
WO2022156350A1 (en) 2022-07-28

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