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Heterogeneous Facial Analysis and Synthesis|Yi Li

Heterogeneous Facial Analysis and Synthesis

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Overview

-1. Introduction

-1.1 Overview

-1.2 Book Structure

-2. Foundation

-2.1 Generative Adversarial Networks

-2.2 Variational Auto-encoder

-2.3 Identity Preserving

-2.4 Global-first topological perception

-2.5 Summary

-3. Unconditional Image Generation

-4. Cross-spectral hallucination

-4.1 Adversarial Discriminative Feature Learning

-4.2 Coupled Deep Learning

-4.3 Disentangled Variational Representation

-5. Cosmetic Transfer

-5.1 Bi-Level Adversarial Network

-5.2 3D Guided Generative Network

-6. Face Super Resolution

-6.1 Wavelet-based CNN

-6.2 Deep Digital Zoom

-7. Face Rotation

-7.1 Global and Local Perception GAN

-7.2 Couple-Agent Pose-Guided GAN

-7.3 High Fidelity Pose Invariant Model

-8. Expression Synthesis

-8.1 Geometry-Guided GAN

-8.2 Face Parsing based GAN

-9. Face Completion

-9.1 Face Completion and Editing

-9.2 MeshFaces Generation and Removal

-10. Suggestions

-10.1 Data

-10.2 Methods

-10.3 Summary

-References

This item is Non-Returnable

Details

  • ISBN-13: 9789811391477
  • ISBN-10: 9811391475
  • Publisher: Springer
  • Publish Date: June 2020
  • Dimensions: 9.21 x 6.14 x 0.22 inches
  • Shipping Weight: 0.36 pounds
  • Page Count: 97

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