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1-44章
共44章
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内容简介
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前言 Preface
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Chapter 1 Introduction
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1.1 3D Object Modeling
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1.2 3D Face Modeling
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1.3 3D Human Body Modeling
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1.4 3D Reconstruction Modeling
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1.5 Outline of the Work
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Bibliography
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Chapter 2 3D Object Modeling
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2.1 Single-View 3D Object Modeling
2.2 Multi-View 3D Object Modeling
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Chapter 3 3D Face Keypoint Detection
3.1 Learning Relation-Sensitive Structured Network for Robus
3.2 Multi-Agent Deep Collaboration Learning for Face Alignme
3.3 Towards Accurate 3D Face Alignment under Extreme Scenari
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Chapter 4 3D Face Reconstruction
4.1 Towards Rich-Detail 3D Face Reconstruction and Dense Ali
4.2 Multi-Attribute Regression Network for Face Reconstructi
4.3 Geometry Normal Consistency Loss for 3D Face Reconstruct
4.4 Complementary Learning Network for 3D Face Reconstructio
4.5 Graph Structure Reasoning Network for Face Alignment and
4.6 Unsupervised Shape Enhancement and Factorization Machine
4.7 A Detail Geometry Learning Network for High-Fidelity Fac
4.8 A Bi-Directional Optimization Network for De-Obscured 3D
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Chapter 5 3D Human Pose Estimation
5.1 Multi-Hybrid Extractor Network for 3D Human Pose Estimat
5.2 3D Human Pose Estimation Based on Center of Gravity
5.3 Edge-Angle Structure Constraint Loss for 3D Human Pose E
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Chapter 6 3D Human Body Reconstruction
6.1 Two-Stage Co-Segmentation Network Based on Discriminativ
6.2 Frame-Level Feature Tokenization Learning for Human Body
6.3 Time-Frequency Awareness Network for Human Mesh Recovery
6.4 Spatio-Temporal Tendency Reasoning for Human Body Pose a
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Chapter 7 3D Reconstruction Modeling
7.1 Replay Attention and Data Augmentation Network for 3D Fa
7.2 A Lightweight Grouped Low-Rank Tensor Approximation Netw
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