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Generative Adversarial Network with In-Betweening for Fine-Grained Skeleton-Based Action Generation

Year: 2024

Type: conference-paper

Source: Proceedings of the Annual Conference of the IEEE Industrial Electronics Society

DOI: 10.1109/iecon55916.2024.10905961

Authors: Xiangyuan Qi, Zhen He, Qiang Wang

Institution: Harbin Institute of Technology

Language: English

Topic: Human Motion and Animation

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

OpenAlex ID: W4408281467

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Cites: 20

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Related to: 10