Výsledky vyhledávání - "Generative Adversarial Networks in Image Processing"

A Comprehensive Survey on Passive Techniques for Digital Image Forgery Detection

Autoři: Mohamed A. Abdelhamed El-Sayed El-Rabie Amira Baumy

Zdroj: Menoufia Journal of Electronic Engineering Research. 0:9-21

Témata: Artificial intelligence, Digital Image Watermarking Techniques, Image Inpainting, Computer science, Generative Adversarial Networks in Image Processing, Digital Images, Image Authentication, Image processing, Computer Science, Physical Sciences, Image Forgery Detection, Image (mathematics), Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Digital image, Camera Model Identification

Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories

Autoři: Naima Otberdout C. Ferrari Mohamed Daoudi a další

Přispěvatelé: Naima Otberdout C. Ferrari Mohamed Daoudi a další

Zdroj: IEEE Transactions on Affective Computing. 15:566-578

Témata: FOS: Computer and information sciences, Artificial intelligence, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, FOS: Mechanical engineering, 02 engineering and technology, Biochemistry, Gene, Graph, Landmark, [INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], Engineering, Facial Landmark Detection, Sociology, 0202 electrical engineering, electronic engineering, information engineering, Polygon mesh, 4D Facial Expression generation, Face Recognition and Analysis Techniques, Expression (computer science), ENCODE, 3D Face Reconstruction, Computer graphics (images), Motion (physics), Social science, Mechanical engineering, Vertex (graph theory), FOS: Sociology, Programming language, Algorithm, Chemistry, facial landmarks, Human Action Recognition and Pose Estimation, Physical Sciences, Computer Vision and Pattern Recognition, Facial expression, Face (sociological concept), 4D facial expression generation, facial landmarks, 3D meshes, Generalization, Representation Learning, Set (abstract data type), Mathematical analysis, Theoretical computer science, Facial Expression Analysis, FOS: Mathematics, Genetics, Biology, Topology (electrical circuits), Feature Learning, Manifold (fluid mechanics), Computer science, 4D Facial Expression generation facial landmarks 3D meshes, Generative Adversarial Networks in Image Processing, 3D meshes, Combinatorics, FOS: Biological sciences, Computer Science, Computer vision, Mathematics, Sequence (biology)

Popis souboru: application/pdf

Přístupová URL adresa: http://arxiv.org/abs/2208.00050
https://hal.science/hal-04100664v1/document
https://hal.science/hal-04100664v1
https://doi.org/10.1109/taffc.2023.3280671

MMGANGuard: A Robust Approach for Detecting Fake Images Generated by GANs Using Multi-Model Techniques

Autoři: Syed Ali Raza Usman Habib Muhammad Usman a další

Zdroj: IEEE Access, Vol 12, Pp 104153-104164 (2024)

Témata: Artificial intelligence, Image Inpainting, Robustness (evolution), detection, Pattern recognition (psychology), Biochemistry, Gene, Resampling Detection, Image Forgery Detection, data analytics, Deep fake, Camera Model Identification, deep learning, StyleGAN, Computer science, TK1-9971, Chemistry, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Image Synthesis, Computer vision, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, GANs, Digital Image Forgery Detection and Identification

Přístupová URL adresa: https://doaj.org/article/a73e3acdc0184f0183c1d4a57d6ce288

An ensemble of CNNs with self-attention mechanism for DeepFake video detection

Autoři: Khairuddin Omar Rasha H. Sakr Mohammed F. Alrahmawy

Zdroj: Neural Computing and Applications. 36:2749-2765

Témata: Artificial neural network, Artificial intelligence, Generative grammar, Generalization, 02 engineering and technology, Pattern recognition (psychology), Mathematical analysis, Deep Learning, Convolution (computer science), Facial Landmark Detection, Facial Expression Analysis, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Image Forgery Detection, FOS: Mathematics, Face Recognition and Analysis Techniques, 10. No inequality, Feature Learning, 4. Education, Deep learning, 16. Peace & justice, Computer science, 3. Good health, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Classifier (UML), Mathematics, Generative model

Forged Video Detection Using Deep Learning: A SLR

Autoři: Maryam Munawar Iram Noreen Raed Alharthi a další

Zdroj: Applied Computational Intelligence and Soft Computing, Vol 2023 (2023)

Témata: Artificial intelligence, FOS: Political science, Representation Learning, Convolutional neural network, FOS: Law, 02 engineering and technology, Mathematical analysis, Data science, Computer security, Field (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Image Forgery Detection, FOS: Mathematics, Law enforcement, Political science, Splicing Detection, Digital forensics, Domain (mathematical analysis), Digital Image Watermarking Techniques, Digital video, Pure mathematics, Deep learning, QA75.5-76.95, 16. Peace & justice, Computer science, Digital Forensics, Generative Adversarial Networks in Image Processing, Electronic computers. Computer science, Computer Science, Physical Sciences, Telecommunications, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Law, Mathematics, Frame (networking)

Přístupová URL adresa: https://doaj.org/article/d489b7051497482bbf70eb38165189c9

TIC: text-guided image colorization using conditional generative model

Autoři: Subhankar Ghosh Prasun Roy Sumanta Bhattacharya a další

Zdroj: Multimedia Tools and Applications. 83:41121-41136

Témata: Artificial intelligence, Generative grammar, Economics, Image Inpainting, Image Processing, 02 engineering and technology, Pattern recognition (psychology), Grayscale, Task (project management), 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Encoding (memory), Image Enhancement Techniques, 4. Education, Automatic Video Summarization and Analysis, 15. Life on land, Computer science, Gamut, Color Transfer, Process (computing), Management, Programming language, Operating system, Generative Adversarial Networks in Image Processing, 13. Climate action, Computer Science, Physical Sciences, Fidelity, Telecommunications, Texture Synthesis, Image Synthesis, Pipeline (software), Computer vision, Computer Vision and Pattern Recognition

Street Object Detection from Synthesized and Processed Semantic Image: A Deep Learning Based Study

Autoři: Parthaw Goswami A. B. M. Aowlad Hossain

Zdroj: Human-Centric Intelligent Systems, Vol 3, Iss 4, Pp 487-507 (2023)

Témata: Conditional Generative Adversarial Network, Artificial intelligence, Object detection, Image Inpainting, 0211 other engineering and technologies, Convolutional neural network, Information technology, 02 engineering and technology, Pattern recognition (psychology), Pedestrian detection, Engineering, Object Detection, 11. Sustainability, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), Image Enhancement Techniques, Street object detection, Image Recognition, Neural style transfer, Deep learning, Detector, QA75.5-76.95, Pedestrian, Transport engineering, 15. Life on land, T58.5-58.64, Computer science, Generative Adversarial Networks in Image Processing, 13. Climate action, Super-resolution, Electronic computers. Computer science, Computer Science, Physical Sciences, Telecommunications, Semantic image synthesis, Deep Learning in Computer Vision and Image Recognition, Image Synthesis, Texture Synthesis, Computer vision, Object (grammar), Computer Vision and Pattern Recognition

Přístupová URL adresa: https://doaj.org/article/43bf7faa22c4470c99709e5126970009

Algorithm Comparison and Evaluation of GAN Models Based on Image Transferring from Desert to Green Field

Autoři: Z. Liu Hongjun Li

Zdroj: Advances in Multimedia, Vol 2023 (2023)

Témata: Stereo Vision and Depth Estimation, Artificial intelligence, Generative grammar, Image Inpainting, 0211 other engineering and technologies, Representation Learning, Epistemology, 02 engineering and technology, Biochemistry, Gene, 7. Clean energy, Rendering, Field (mathematics), Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Computer Graphics and Visualization Techniques, Similarity (geometry), 2. Zero hunger, Generative Adversarial Networks, Pure mathematics, QA75.5-76.95, Desert (philosophy), 15. Life on land, Computer Graphics and Computer-Aided Design, Computer science, FOS: Philosophy, ethics and religion, Philosophy, Chemistry, Generative Adversarial Networks in Image Processing, 13. Climate action, Electronic computers. Computer science, Computer Science, Physical Sciences, Transformation (genetics), Texture Synthesis, Computer vision, Computer Vision and Pattern Recognition, Rendering (computer graphics), Mathematics

Přístupová URL adresa: https://doaj.org/article/1a7df3dbe4ae496ca4225f3133fb36a3

Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models

Autoři: Ayoub Abderrazak Maarouf Fella Hachouf Soumia Kharfouchi

Zdroj: Image Analysis and Stereology, Vol 42, Iss 1, Pp 37-49 (2023)

Témata: Medicine (General), Artificial intelligence, Image Inpainting, FOS: Political science, 0211 other engineering and technologies, Representation Learning, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Autoregressive model, texture synthesis, Automated Reconstruction of Fragmented Objects, R5-920, Image processing, Shape Matching and Object Recognition, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), FOS: Mathematics, Image texture, Political science, exemplar based method, 4. Education, Statistics, Politics, Texture Classification, Texture (cosmology), Texture synthesis, 15. Life on land, Computer science, Algorithm, 2d-rca models, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Texture Synthesis, Image Synthesis, Computer Vision and Pattern Recognition, gmm, Representation (politics), Law, local approximated images, Mathematics

Přístupová URL adresa: https://doaj.org/article/4141f3c5c04b4baaaee90e86ac14cc6a

The Ethical Implications of DALL-E: Opportunities and Challenges

Autoři: Kai-Qing Zhou Hatem Nabus

Zdroj: Mesopotamian Journal of Computer Science. 2023:16-21

Témata: 0301 basic medicine, Explainable Artificial Intelligence, FOS: Political science, Social Sciences, FOS: Law, Engineering ethics, Creativity, Discipline, Unintended consequences, 03 medical and health sciences, Engineering, 0302 clinical medicine, Sociology, Artificial Intelligence, Business, 10. No inequality, Political science, Corporate governance, 9. Industry and infrastructure, 4. Education, Ethical Implications of Artificial Intelligence, Ethical issues, Responsibility in AI, FOS: Sociology, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Safety Research, Law, Finance

An efficient hidden marking approach for forensic and contents verification of digital images

Autoři: Mohsen A. M. El‐Bendary Osama S. Faragallah Sabry S. Nassar

Zdroj: Multimedia Tools and Applications. 82:25527-25558

Témata: Artificial intelligence, Image Inpainting, Copy-Move Forgery, Geometry, 02 engineering and technology, Pattern recognition (psychology), Mathematical analysis, Image processing, Discrete cosine transform, Image Forgery Detection, Image (mathematics), FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Digital image, Camera Model Identification, Domain (mathematical analysis), Digital Image Watermarking Techniques, 4. Education, Partition (number theory), 16. Peace & justice, Computer science, Process (computing), Operating system, Generative Adversarial Networks in Image Processing, Image Authentication, Combinatorics, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Digital watermarking, Digital Image Forgery Detection and Identification, Block (permutation group theory), Mathematics, Embedding

A novel medical image enhancement algorithm based on CLAHE and pelican optimization

Autoři: Yasser Radouane Haddadi Boualem Mansouri Fatima zohra Driss Khoudja

Zdroj: Multimedia Tools and Applications. 83:90069-90088

Témata: Artificial intelligence, Single Image Super-Resolution Techniques, Image Processing, Image Inpainting, Contrast Enhancement, Contrast (vision), Pattern recognition (psychology), Computer science, 3. Good health, Algorithm, Generative Adversarial Networks in Image Processing, Medical Imaging, Image processing, Computer Science, Physical Sciences, Image (mathematics), Adaptive histogram equalization, Image quality, Computer vision, Computer Vision and Pattern Recognition, Histogram equalization, Image Enhancement Techniques, Single Image Restoration

Deep Fake Detection Using Computer Vision-Based Deep Neural Network with Pairwise Learning

Autoři: R. Saravana Ram Mithilesh Kumar Tareq M. Al-shami a další

Zdroj: Intelligent Automation & Soft Computing. 35:2449-2462

Témata: Artificial neural network, Artificial intelligence, Image Inpainting, FOS: Political science, Unsupervised Learning, FOS: Law, 02 engineering and technology, Pattern recognition (psychology), Pairwise comparison, 7. Clean energy, Deep Learning, Deep belief network, Machine learning, Image Forgery Detection, 0202 electrical engineering, electronic engineering, information engineering, Political science, Digital Image Watermarking Techniques, Deep learning, 16. Peace & justice, Computer science, Generative Adversarial Networks in Image Processing, Image Authentication, Computer Science, Physical Sciences, Computer vision, Computer Vision and Pattern Recognition, Digital Image Forgery Detection and Identification, Pornography, Law

Enhancing Performance of Movie Recommendations Using LSTM With Meta Path Analysis

Autoři: Zulfiqar Ali Asif Muhammad Ahmad Sami Al-Shamayleh a další

Přispěvatelé: Zulfiqar Ali Asif Muhammad Ahmad Sami Al-Shamayleh a další

Zdroj: IEEE Access, Vol 11, Pp 119017-119032 (2023)

Témata: FOS: Computer and information sciences, Artificial intelligence, metapath instances, ablation analysis, Trust-Aware Recommender Systems, Epistemology, 7. Clean energy, Context-Aware Recommender Systems, Machine learning, Long short-term memory, Information retrieval, Image Quality Assessment in Multimedia Content, Recommender system, Data mining, Physics, deep learning, Content-Based Recommendation, Deep learning, Linguistics, Optics, Focus (optics), Computer science, TK1-9971, FOS: Philosophy, ethics and religion, 3. Good health, Philosophy, machine learning, Generative Adversarial Networks in Image Processing, Recommender System Technologies, metapath analysis, Computer Science, Physical Sciences, Quality (philosophy), FOS: Languages and literature, Recall, intra-metapath, inter-metapath, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, long short-term memory, Information Systems

Popis souboru: application/pdf

Přístupová URL adresa: https://doaj.org/article/bcd672151d9d47f9a44489e176175c85

PTcomp: Post-Training Compression Technique for Generative Adversarial Networks

Autoři: Dina Tantawy Mohamed Zahran Amr G. Wassal

Zdroj: IEEE Access, Vol 11, Pp 9763-9774 (2023)

Témata: Composite material, Artificial intelligence, Single Image Super-Resolution Techniques, Generative grammar, pruning, Representation Learning, 02 engineering and technology, Adversarial system, deep-learning, post-training, 7. Clean energy, 03 medical and health sciences, Resampling Detection, Meteorology, 0302 clinical medicine, Training (meteorology), 0202 electrical engineering, electronic engineering, information engineering, 2. Zero hunger, Generative Adversarial Networks, Conditional Generative Models, Physics, Compression, 15. Life on land, Computer science, Materials science, TK1-9971, Generative Adversarial Networks in Image Processing, Data compression, Computer Science, Physical Sciences, Compression (physics), Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, generative adversarial networks, Digital Image Forgery Detection and Identification, clustering, JPEG Compression

Přístupová URL adresa: https://doaj.org/article/3eab85d204c74a459a2f39e0cf004016

Interactive image manipulation using morphological trees and spline-based skeletons

Autoři: Jieying Wang Dennis J. Silva Jiří Kosinka a další

Přispěvatelé: Jieying Wang Dennis J. Silva Jiří Kosinka a další

Zdroj: Computers & Graphics. 108:61-73

Témata: Stereo Vision and Depth Estimation, Artificial intelligence, Image Inpainting, Feature (linguistics), Structural engineering, Image skeleton, Morphological tree, 02 engineering and technology, Visual Servoing, Rendering, Grayscale, Engineering, Spline (mechanical), Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Computer Graphics and Visualization Techniques, Image editing, Visualization, Computer graphics (images), Linguistics, Image synthesis, Computer Graphics and Computer-Aided Design, Computer science, FOS: Philosophy, ethics and religion, Programming language, Philosophy, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, FOS: Languages and literature, Image Synthesis, Computer vision, Computer Vision and Pattern Recognition, Image manipulation, Software

Popis souboru: application/pdf

Přístupová URL adresa: https://research.rug.nl/en/publications/a922861b-49f9-4f03-b110-12d663aa3a24
https://hdl.handle.net/11370/a922861b-49f9-4f03-b110-12d663aa3a24
https://doi.org/10.1016/j.cag.2022.09.002
https://research-portal.uu.nl/en/publications/e3c9c35f-5997-47bf-a6a1-c7ae3613dcce
https://doi.org/10.1016/j.cag.2022.09.002
https://dspace.library.uu.nl/handle/1874/431875

Proposed Detection Face Model by MobileNetV2 Using Asian Data Set

Autoři: Phat Nguyen Huu Vinh Tran-Quang Chau Nguyen Le Bao a další

Zdroj: Journal of Electrical and Computer Engineering, Vol 2022 (2022)

Témata: Computer engineering. Computer hardware, Artificial intelligence, China, Face (sociological concept), Convolutional neural network, Set (abstract data type), Infectious disease (medical specialty), 02 engineering and technology, Motion Detection, Visual Object Tracking and Person Re-identification, TK7885-7895, Facial Landmark Detection, Sociology, Virology, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Disease, Face Recognition and Analysis Techniques, Face masks, Public health, Pandemic, Geography, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Deep learning, Outbreak, Social science, Computer science, FOS: Sociology, Programming language, 3. Good health, Coronavirus disease 2019 (COVID-19), Generative Adversarial Networks in Image Processing, Archaeology, Computer Science, Physical Sciences, Medicine, Computer vision, Computer Vision and Pattern Recognition, 2019-20 coronavirus outbreak

Popis souboru: text/xhtml

Přístupová URL adresa: https://doaj.org/article/75b540dc6f3f4976b28c74bce42fd628

Adapting Triple-BigGAN for Image Detection Tasks: Challenges and Opportunities

Autoři: Russell Quaicoo Richmond Acheampong Pius Gyamenah a další

Témata: Artificial intelligence, Discriminator, Generative grammar, Image Inpainting, Categorical variable, Representation Learning, Image Retrieval, Pattern recognition (psychology), 7. Clean energy, Image Feature Retrieval and Recognition Techniques, Shape Matching and Object Recognition, Machine learning, 2. Zero hunger, Discriminative model, Detector, 15. Life on land, Computer science, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Telecommunications, Image Synthesis, Computer Vision and Pattern Recognition, Classifier (UML), Feature Matching, Generative model

Polygon generation and video-to-video translation for time-series prediction

Autoři: Mohamed Elhefnawy Ahmed Ragab Mohamed-Salah Ouali

Zdroj: J Intell Manuf

Témata: Artificial intelligence, 0209 industrial biotechnology, Single Image Super-Resolution Techniques, Economics, Translation (biology), Macroeconomics, Representation Learning, 02 engineering and technology, Biochemistry, Gene, 7. Clean energy, Article, Series (stratigraphy), 0202 electrical engineering, electronic engineering, information engineering, Polygon (computer graphics), Production (economics), Computer graphics (images), Messenger RNA, Paleontology, Geology, FOS: Earth and related environmental sciences, Computer science, Chemistry, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Telecommunications, Texture Synthesis, Computer Vision and Pattern Recognition, Image Denoising Techniques and Algorithms, Frame (networking)

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/36618340
https://publications.polymtl.ca/52081/
https://doi.org/10.1007/s10845-022-02003-1

A walk in the black-box: 3D visualization of large neural networks in virtual reality

Autoři: Christoph Linse Hammam Alshazly Thomas Martinetz

Zdroj: Neural Comput Appl

Témata: Artificial neural network, Visual Explanations, Artificial intelligence, Explainable Artificial Intelligence, Computer Vision, Generalization, Memorization, Representation Learning, Convolutional neural network, 02 engineering and technology, Mathematical analysis, Deep Learning, Software visualization, Artificial Intelligence, Black box, Component-based software engineering, FOS: Mathematics, 0202 electrical engineering, electronic engineering, information engineering, Interpretability, Visualization, Human–computer interaction, Black Box Models, Deep learning, Computer science, Mathematics education, Programming language, Generative Adversarial Networks in Image Processing, Computer Science, Physical Sciences, Software system, Original Article, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Software, Mathematics

Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/35996678