Heterogeneous Facial Analysis and Synthesis
Samenvatting
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.
Specificaties
Inhoudsopgave
<p>-1.1 Overview</p>
<p>-1.2 Book Structure</p>
<p>-2. Foundation</p>
-2.1 Generative Adversarial Networks<p></p>
<p>-2.2 Variational Auto-encoder</p>
<p>-2.3 Identity Preserving</p>
<p>-2.4 Global-first topological perception</p>
<p>-2.5 Summary</p>
<p>-3. Unconditional Image Generation</p>
<p>-4. Cross-spectral hallucination</p>
<p>-4.1 Adversarial Discriminative Feature Learning</p>
<p>-4.2 Coupled Deep Learning</p>
<p>-4.3 Disentangled Variational Representation</p>
<p>-5. Cosmetic Transfer</p>
<p>-5.1 Bi-Level Adversarial Network</p>
<p>-5.2 3D Guided Generative Network</p>
<p>-6. Face Super Resolution</p>
<p>-6.1 Wavelet-based CNN</p>
<p>-6.2 Deep Digital Zoom</p>
<p>-7. Face Rotation</p>
<p>-7.1 Global and Local Perception GAN</p>
<p>-7.2 Couple-Agent Pose-Guided GAN</p>
<p>-7.3 High Fidelity Pose Invariant Model</p>
<p>-8. Expression Synthesis</p>
<p>-8.1 Geometry-Guided GAN</p>
<p>-8.2 Face Parsing based GAN</p>
<p>-9. Face Completion</p>
-9.1 Face Completion and Editing<p></p>
<p>-9.2 MeshFaces Generation and Removal</p>
<p>-10. Suggestions</p>
<p>-10.1 Data</p>
-10.2 Methods<p></p>
<p>-10.3 Summary</p>
<p>-References</p>
