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Heterogeneous Facial Analysis and Synthesis [[electronic resource] /] / by Yi Li, Huaibo Huang, Ran He, Tieniu Tan



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Autore: Li Yi Visualizza persona
Titolo: Heterogeneous Facial Analysis and Synthesis [[electronic resource] /] / by Yi Li, Huaibo Huang, Ran He, Tieniu Tan Visualizza cluster
Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Edizione: 1st ed. 2020.
Descrizione fisica: 1 online resource (104 pages)
Disciplina: 006.37
Soggetto topico: Optical data processing
Pattern recognition
Machine learning
Image Processing and Computer Vision
Pattern Recognition
Machine Learning
Persona (resp. second.): HuangHuaibo
HeRan
TanTieniu
Nota di contenuto: 1. Introduction -- 2. Foundation -- 3. Unconditional Image Generation -- 4. Cross-spectral hallucination -- 5. Cosmetic Transfer -- 6. Face Super Resolution -- 7. Face Rotation -- 8. Expression Synthesis -- 9. Face Completion -- 10. Suggestions.
Sommario/riassunto: This book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.
Titolo autorizzato: Heterogeneous Facial Analysis and Synthesis  Visualizza cluster
ISBN: 981-13-9148-3
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465463203316
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Serie: SpringerBriefs in Computer Science, . 2191-5768