Heterogeneous Facial Analysis and Synthesis
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Beschreibung
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.
Introduces readers to the theoretical and technical fundamentals of heterogeneous face analysis and synthesis Includes various hot and emerging applications in heterogeneous face analysis Shares tips and insights into leveraging advanced techniques, and outlines future trends
Autor*in
Yi Li
Themen in »Heterogeneous Facial Analysis and Synthesis«
Heterogeneous Face Face Analysis Face Synthesis Computer Vision Machine Learning Generative Adversarial Networks Image Generation Face Hallucination Face Manipulation Face Restoration