3D Pose Estimation by Synthesizing Motions

Zhuang, Xin; Muqing, Wu; Zhao, Min

doi:10.1109/iccc56324.2022.10065723

2022 IEEE 8th International Conference on Computer and Communications (ICCC) 2022

DOI: 10.1109/iccc56324.2022.10065723

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3D Pose Estimation by Synthesizing Motions

Xin Zhuang

Wu Muqing

Min Zhao

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2024

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Cited by 1 publication

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Data augmentation in human-centric vision

Jiang,

Zhang,

Zheng

et al. 2024

Vicinagearth

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This survey presents a comprehensive analysis of data augmentation techniques in human-centric vision tasks, a first of its kind in the field. It delves into a wide range of research areas including person ReID, human parsing, human pose estimation, and pedestrian detection, addressing the significant challenges posed by overfitting and limited training data in these domains. Our work categorizes data augmentation methods into two main types: data generation and data perturbation. Data generation covers techniques like graphic engine-based generation, generative model-based generation, and data recombination, while data perturbation is divided into image-level and human-level perturbations. Each method is tailored to the unique requirements of human-centric tasks, with some applicable across multiple areas. Our contributions include an extensive literature review, providing deep insights into the influence of these augmentation techniques in human-centric vision and highlighting the nuances of each method. We also discuss open issues and future directions, such as the integration of advanced generative models like Latent Diffusion Models, for creating more realistic and diverse training data. This survey not only encapsulates the current state of data augmentation in human-centric vision but also charts a course for future research, aiming to develop more robust, accurate, and efficient human-centric vision systems.

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Data augmentation in human-centric vision

Jiang,

Zhang,

Zheng

et al. 2024

Vicinagearth

View full text Add to dashboard Cite

show abstract

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3D Pose Estimation by Synthesizing Motions

Cited by 1 publication

References 19 publications

Data augmentation in human-centric vision

Data augmentation in human-centric vision

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