XPose: Realism and Stability in Human Video Animations through ControlNet Integration of DensePose and DWPose

Jiang, Ziheng and Zhang, Chentao (2025) XPose: Realism and Stability in Human Video Animations through ControlNet Integration of DensePose and DWPose. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.

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Abstract

Enhancing the realism and stability of human animations in video generation remains a significant challenge, particularly in maintaining consistent facial expressions, body proportions, and clothing. This paper introduces a new framework, which addresses these challenges by integrating Dense Human P

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 18:26
Last Modified: 16 Apr 2026 21:39
URI: http://eprints.eai.eu/id/eprint/52524

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