Style Transfer between Images
發(fā)布時間:2023-05-07 01:49
【文章頁數(shù)】:132 頁
【學位級別】:博士
【文章目錄】:
Acknowledgements
Biographical Sketch
Abstract
1 Introduction
1.1 Styles
1.1.1 Color style transfer for natural images
1.1.2 Transferring the facial makeup style between images
1.1.3 Texture style transfer for artistic images
1.2 Contributions
1.3 Road Map
2 Background and Related work
2.1 Background
2.1.1 Color perception
2.1.2 Color representation
2.1.3 Color spaces
2.2 Related work
2.2.1 Color style transfer techniques
2.2.2 Artistic color style transfer techniques
2.2.3 Facial makeup style transfer between images
2.3 Summary
3 Color style transfer between natural images
3.1 Motivation
3.2 Our Goal
3.3 Proposed Approach
3.3.1 Local color transfer
3.3.2 Locally Linear Embedding
3.3.3 Color propagation
3.3.4 Sub-Sampling
3.4 Experiments and results
3.5 Discussion and Summary
4 Transferring the facial makeup style between images
4.1 Motivation
4.2 Our Goal
4.3 Proposed Approach
4.4 Digital Makeup
4.4.1 Face Database
4.4.2 Face Semantics Outlines
4.4.3 Matting of Face Semantics
4.4.4 Semantics Makeup Style Transfer
4.4.5 Makeup Consistency Optimization
4.5 Experiments and results
4.5.1 More Results On Makeup Transfer
4.6 Discussion and Summary
5 Photographic Painting Style Transfer using Convolutional Neural Networks
5.1 Motivation
5.2 Our Goal
5.3 Proposed Approach
5.4 Face Labeling Convolutional Learning
5.4.1 CNN Architecture
5.5 Photographic Painting Style Transfer
5.5.1 Model
5.5.2 Solving for the photographic painting
5.6 Experiments and results
5.7 Discussion and Summary
6 Conclusions and Future work
6.1 Summary
6.2 Future Work
6.2.1 Transferring the artistic style from multiple face image
6.2.2 Transferring the artistic style for natural images
References
Publications
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