JPWO2021162055A1 - - Google Patents
Info
- Publication number
- JPWO2021162055A1 JPWO2021162055A1 JP2022500453A JP2022500453A JPWO2021162055A1 JP WO2021162055 A1 JPWO2021162055 A1 JP WO2021162055A1 JP 2022500453 A JP2022500453 A JP 2022500453A JP 2022500453 A JP2022500453 A JP 2022500453A JP WO2021162055 A1 JPWO2021162055 A1 JP WO2021162055A1
- Authority
- JP
- Japan
- Legal status (The legal status 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 status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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 OR CALCULATING; 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]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/761—Proximity, similarity or dissimilarity measures
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Software Systems (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Multimedia (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Human Computer Interaction (AREA)
- Biodiversity & Conservation Biology (AREA)
- Image Analysis (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020021509 | 2020-02-12 | ||
| JP2020021509 | 2020-02-12 | ||
| PCT/JP2021/005052 WO2021162055A1 (ja) | 2020-02-12 | 2021-02-10 | 心的イメージ可視化方法、心的イメージ可視化装置及びプログラム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2021162055A1 true JPWO2021162055A1 (https=) | 2021-08-19 |
| JP7482551B2 JP7482551B2 (ja) | 2024-05-14 |
Family
ID=77291809
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022500453A Active JP7482551B2 (ja) | 2020-02-12 | 2021-02-10 | 心的イメージ可視化方法、心的イメージ可視化装置及びプログラム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US12437186B2 (https=) |
| JP (1) | JP7482551B2 (https=) |
| WO (1) | WO2021162055A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12437186B2 (en) * | 2020-02-12 | 2025-10-07 | Osaka University | Mental image visualization method, mental image visualization device and recording medium |
| CN112989904B (zh) * | 2020-09-30 | 2022-03-25 | 北京字节跳动网络技术有限公司 | 风格图像生成方法、模型训练方法、装置、设备和介质 |
| US11989916B2 (en) * | 2021-10-11 | 2024-05-21 | Kyocera Document Solutions Inc. | Retro-to-modern grayscale image translation for preprocessing and data preparation of colorization |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09101970A (ja) * | 1995-10-06 | 1997-04-15 | Omron Corp | 画像検索方法および画像検索装置 |
| JP2007249319A (ja) * | 2006-03-14 | 2007-09-27 | Doshisha | 画面の表示方法 |
| JP2018063504A (ja) * | 2016-10-12 | 2018-04-19 | 株式会社リコー | 生成モデル学習方法、装置及びプログラム |
| JP6448839B1 (ja) * | 2018-06-20 | 2019-01-09 | 株式会社 ディー・エヌ・エー | 画像生成装置、画像生成器、画像識別器、画像生成プログラム、及び、画像生成方法 |
Family Cites Families (24)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9594977B2 (en) * | 2015-06-10 | 2017-03-14 | Adobe Systems Incorporated | Automatically selecting example stylized images for image stylization operations based on semantic content |
| DE102015009981A1 (de) * | 2015-07-31 | 2017-02-02 | Eberhard Karls Universität Tübingen | Verfahren und Vorrichtung zur Bildsynthese |
| US9857953B2 (en) * | 2015-11-17 | 2018-01-02 | Adobe Systems Incorporated | Image color and tone style transfer |
| US9940551B1 (en) * | 2016-06-17 | 2018-04-10 | Google Llc | Image generation using neural networks |
| US10755171B1 (en) * | 2016-07-06 | 2020-08-25 | Google Llc | Hiding and detecting information using neural networks |
| US10147459B2 (en) * | 2016-09-22 | 2018-12-04 | Apple Inc. | Artistic style transfer for videos |
| US10198839B2 (en) * | 2016-09-22 | 2019-02-05 | Apple Inc. | Style transfer-based image content correction |
| CN116823593A (zh) * | 2016-10-21 | 2023-09-29 | 谷歌有限责任公司 | 风格化输入图像 |
| US10192321B2 (en) * | 2017-01-18 | 2019-01-29 | Adobe Inc. | Multi-style texture synthesis |
| CN108734749A (zh) * | 2017-04-20 | 2018-11-02 | 微软技术许可有限责任公司 | 图像的视觉风格变换 |
| US10565757B2 (en) * | 2017-06-09 | 2020-02-18 | Adobe Inc. | Multimodal style-transfer network for applying style features from multi-resolution style exemplars to input images |
| US10318889B2 (en) * | 2017-06-26 | 2019-06-11 | Konica Minolta Laboratory U.S.A., Inc. | Targeted data augmentation using neural style transfer |
| US10832387B2 (en) * | 2017-07-19 | 2020-11-10 | Petuum Inc. | Real-time intelligent image manipulation system |
| US10789694B1 (en) * | 2017-09-11 | 2020-09-29 | Apple Inc. | Real-time adjustment of temporal consistency constraints for video style |
| KR102814129B1 (ko) * | 2018-08-02 | 2025-05-29 | 삼성전자주식회사 | 영상 처리 장치 및 그 동작방법 |
| CN109472270B (zh) * | 2018-10-31 | 2021-09-24 | 京东方科技集团股份有限公司 | 图像风格转换方法、装置及设备 |
| US11295494B2 (en) * | 2019-06-26 | 2022-04-05 | Adobe Inc. | Image modification styles learned from a limited set of modified images |
| CN110634167B (zh) * | 2019-09-27 | 2021-07-20 | 北京市商汤科技开发有限公司 | 神经网络训练方法及装置和图像生成方法及装置 |
| US11210560B2 (en) * | 2019-10-02 | 2021-12-28 | Mitsubishi Electric Research Laboratories, Inc. | Multi-modal dense correspondence imaging system |
| US11158090B2 (en) * | 2019-11-22 | 2021-10-26 | Adobe Inc. | Enhanced video shot matching using generative adversarial networks |
| US11321939B2 (en) * | 2019-11-26 | 2022-05-03 | Microsoft Technology Licensing, Llc | Using machine learning to transform image styles |
| CN114981836B (zh) * | 2020-01-23 | 2025-05-23 | 三星电子株式会社 | 电子设备和电子设备的控制方法 |
| US12437186B2 (en) * | 2020-02-12 | 2025-10-07 | Osaka University | Mental image visualization method, mental image visualization device and recording medium |
| US11823490B2 (en) * | 2021-06-08 | 2023-11-21 | Adobe, Inc. | Non-linear latent to latent model for multi-attribute face editing |
-
2021
- 2021-02-10 US US17/798,750 patent/US12437186B2/en active Active
- 2021-02-10 WO PCT/JP2021/005052 patent/WO2021162055A1/ja not_active Ceased
- 2021-02-10 JP JP2022500453A patent/JP7482551B2/ja active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH09101970A (ja) * | 1995-10-06 | 1997-04-15 | Omron Corp | 画像検索方法および画像検索装置 |
| JP2007249319A (ja) * | 2006-03-14 | 2007-09-27 | Doshisha | 画面の表示方法 |
| JP2018063504A (ja) * | 2016-10-12 | 2018-04-19 | 株式会社リコー | 生成モデル学習方法、装置及びプログラム |
| JP6448839B1 (ja) * | 2018-06-20 | 2019-01-09 | 株式会社 ディー・エヌ・エー | 画像生成装置、画像生成器、画像識別器、画像生成プログラム、及び、画像生成方法 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20230086573A1 (en) | 2023-03-23 |
| US12437186B2 (en) | 2025-10-07 |
| JP7482551B2 (ja) | 2024-05-14 |
| WO2021162055A1 (ja) | 2021-08-19 |
Similar Documents
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20240205 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20240402 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20240422 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7482551 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |