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 networksInfo
- 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
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0475—Generative networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/094—Adversarial learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4053—Super resolution, i.e. output image resolution higher than sensor resolution
- G06T3/4076—Super resolution, i.e. output image resolution higher than sensor resolution by iteratively correcting the provisional high resolution image using the original low-resolution image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local 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
- G06V10/443—Local 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
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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 |
Family
ID=76050957
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
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)
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)
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)
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 |
-
2021
- 2021-01-25 CN CN202110096097.0A patent/CN112884856B/en active Active
- 2021-11-23 LU LU502833A patent/LU502833B1/en active IP Right Grant
- 2021-11-23 WO PCT/CN2021/132387 patent/WO2022156350A1/en active Application Filing
-
2022
- 2022-07-12 ZA ZA2022/07738A patent/ZA202207738B/en unknown
Cited By (2)
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 |
Also Published As
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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