Human Motion Transfer With 3D Constraints and Detail Enhancement

We propose a new method for realistic human motion transfer using a generative adversarial network (GAN), which generates a motion video of a target character imitating actions of a source character, while maintaining high authenticity of the generated results. We tackle the problem by decoupling an...

Description complète

Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 4 vom: 01. Apr., Seite 4682-4693
Auteur principal: Sun, Yang-Tian (Auteur)
Autres auteurs: Fu, Qian-Cheng, Jiang, Yue-Ren, Liu, Zitao, Lai, Yu-Kun, Fu, Hongbo, Gao, Lin
Format: Article en ligne
Langue:English
Publié: 2023
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, Non-U.S. Gov't