三维建模学习算法（英文版）

吴素萍

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前言
Chapter 1 Introduction
1.1 3D Object Modeling
1.1.1 Single-View 3D Reconstru...
1.1.2 Multi-View 3D Reconstruc...
1.2 3D Face Modeling
1.2.1 3D Face Keypoint Detecti...
1.2.2 3D Face Reconstruction
1.3 3D Human Body Modeling
1.3.1 3D Human Pose Estimation
1.3.2 3D Human Body Reconstruc...
1.4 3D Reconstruction Modeling
1.5 Outline of the Work
Bibliography
Chapter 2 3D Object Modeling
2.1 Single-View 3D Object Mode...
2.1.1 Multi-Scale Edge-Guided ...
2.1.2 Multi-Granularity Relati...
2.1.3 3D Shape Reconstruction ...
2.1.4 Hierarchical Feature Lea...
2.2 Multi-View 3D Object Model...
2.2.1 High-Resolution Multi-Vi...
2.2.2 Global Contextual Comple...
2.2.3 Attention-Guided Multi-V...
2.2.4 Self-Supervised Edge Str...
2.2.5 Layered Decoupled Comple...
2.2.6 Global Balanced Networks...
Bibliography
Chapter 3 3D Face Keypoint Det...
3.1 Learning Relation-Sensitiv...
3.1.1 Introduction
3.1.2 Proposed Method
3.1.3 Experiments
3.1.4 Conclusion
3.2 Multi-Agent Deep Collabora...
3.2.1 Introduction
3.2.2 Proposed Method
3.2.3 Experiments
3.2.4 Conclusion
3.3 Towards Accurate 3D Face A...
3.3.1 Introduction
3.3.2 Proposed Method
3.3.3 Loss Function
3.3.4 Experiments
3.3.5 Conclusion
Bibliography
Chapter 4 3D Face Reconstructi...
4.1 Towards Rich-Detail 3D Fac...
4.1.1 Introduction
4.1.2 Proposed Method
4.1.3 Experiments
4.1.4 Conclusion
4.2 Multi-Attribute Regression...
4.2.1 Introduction
4.2.2 Proposed Method
4.2.3 Experiments
4.2.4 Conclusion
4.3 Geometry Normal Consistenc...
4.3.1 Introduction
4.3.2 Proposed Method
4.3.3 Experiments
4.3.4 Conclusion
4.4 Complementary Learning Net...
4.4.1 Introduction
4.4.2 Proposed Method
4.4.3 Experiments
4.4.4 Conclusion
4.5 Graph Structure Reasoning ...
4.5.1 Introduction
4.5.2 Proposed Method
4.5.3 Experiments
4.5.4 Conclusion
4.6 Unsupervised Shape Enhance...
4.6.1 Introduction
4.6.2 Proposed Method
4.6.3 Experiments
4.6.4 Conclusion
4.7 A Detail Geometry Learning...
4.7.1 Introduction
4.7.2 Proposed Method
4.7.3 Experiments
4.7.4 Conclusion
4.8 A Bi-Directional Optimizat...
4.8.1 Introduction
4.8.2 Proposed Method
4.8.3 Experiments
4.8.4 Conclusion
Bibliography
Chapter 5 3D Human Pose Estima...
5.1 Multi-Hybrid Extractor Net...
5.1.1 Introduction
5.1.2 Proposed Method
5.1.3 Experiments
5.1.4 Conclusion
5.2 3D Human Pose Estimation B...
5.2.1 Introduction
5.2.2 Proposed Method
5.2.3 Experiments
5.2.4 Conclusion
5.3 Edge-Angle Structure Const...
5.3.1 Introduction
5.3.2 Related W orks
5.3.3 Proposed Method
5.3.4 Experiments
5.3.5 Conclusion
Bibliography
Chapter 6 3D Human Body Recons...
6.1 Two-Stage Co-Segmentation ...
6.1.1 Introduction
6.1.2 Related W orks
6.1.3 Proposed Method
6.1.4 Experiments
6.1.5 Conclusion
6.2 Frame-Level Feature Tokeni...
6.2.1 Introduction
6.2.2 Related W orks
6.2.3 Proposed Method
6.2.4 Experiments
6.2.5 Conclusion
6.3 Time-Frequency Awareness N...
6.3.1 Introduction and Related...
6.3.2 Proposed Method
6.3.3 Experiments
6.3.4 Conclusion
6.4 Spatio-Temporal Tendency R...
6.4.1 Introduction and Related...
6.4.2 Proposed Method
6.4.3 Experiments
6.4.4 Conclusion
Bibliography
Chapter 7 3D Reconstruction Mo...
7.1 Replay Attention and Data ...
7.1.1 Introduction
7.1.2 Related W orks
7.1.3 Proposed Method
7.1.4 Experiments
7.1.5 Conclusion
7.2 A Lightweight Grouped Low-...
7.2.1 Introduction
7.2.2 Proposed Method
7.2.3 Experiments
7.2.4 Conclusion
Bibliography

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三维建模学习算法（英文版）