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pro vyhledávání: '"Pruvost, Kevin"'
Autor:
Ukarapol, Trapoom, Pruvost, Kevin
Text-to-3D generation has shown promising results, yet common challenges such as the Multi-face Janus problem and extended generation time for high-quality assets. In this paper, we address these issues by introducing a novel three-stage training pip
Externí odkaz:
http://arxiv.org/abs/2406.09850
Autor:
Sheng, Jenny, Lin, Matthieu, Zhao, Andrew, Pruvost, Kevin, Wen, Yu-Hui, Li, Yangguang, Huang, Gao, Liu, Yong-Jin
This paper presents an exploration of preference learning in text-to-motion generation. We find that current improvements in text-to-motion generation still rely on datasets requiring expert labelers with motion capture systems. Instead, learning fro
Externí odkaz:
http://arxiv.org/abs/2404.09445