Enhancing human pose estimation in ancient vase paintings via perceptually-grounded style transfer learning

Madhu, Prathmesh; Villar-Corrales, Angel; Kosti, Ronak; Bendschus, Torsten; Reinhardt, Corinna; Bell, Peter; Maier, Andreas; Christlein, Vincent

doi:10.1145/3569089

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Madhu, P., Villar-Corrales, A., Kosti, R., Bendschus, T., Reinhardt, C., Bell, P., Maier, A., & Christlein, V. (2022). Enhancing human pose estimation in ancient vase paintings via perceptually-grounded style transfer learning. Journal on Computing and Cultural Heritage, 16(1), 16. https://doi.org/10.1145/3569089

Abstract

Human pose estimation (HPE) is a central part of understanding the visual narration and body movements of characters depicted in artwork collections, such as Greek vase paintings. Unfortunately, existing HPE methods do not generalise well across domains resulting in poorly recognized poses. Therefore, we propose a two step approach: (1) adapting a dataset of natural images of known person and pose annotations to the style of Greek vase paintings by means of image style-transfer. We introduce a perceptually-grounded style transfer trai