A cross-feature interaction network for 3D human pose estimation

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Jihua Peng, Yanghong Zhou, Pik-Yin Mok

Published: 01 Jan 2025, Last Modified: 04 Nov 2025Pattern Recognit. Lett. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•A novel CFI Network for enhanced learning of 3D pose representations.•A specific multi-head cross-attention to model dependences across features.•A graph-enhanced GraMPL module with parallel MLP and GCN for feature aggregation.•Outperforming existing models for 3D pose estimation based on single-image inputs.