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

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

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.4108/eai.21-11-2024.2354584
Primary Topic
Generative Adversarial Networks and Image Synthesis
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Ziheng Jiang, C. Zhang
Generative Adversarial Networks and Image Synthesis
article

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

Ziheng Jiang, C. Zhang
article en

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

Openalex Percentile: Top 96%
Generative Adversarial Networks and Image Synthesis
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XPose: Realism and Stability in Human Video Animations through ControlNet Integration of DensePose and DWPose — Ziheng Jiang, C. Zhang · (2025) | TGRS Research Map | TGRS