Exploring Text-to-Motion Generation with Human Preference

Exploring Text-to-Motion Generation with Human Preference

15 April 2024

Yu-Hui Wen

Gao Huang

Papers citing "Exploring Text-to-Motion Generation with Human Preference"

8 / 8 papers shown

Title
Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations Zilin Wang Hao-Wen Zhuang Lu Li Yinmin Zhang Junjie Zhong Jun Chen Yu Yang Boshi Tang Zhiyong Wu 37 3 0 18 Dec 2023
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators Yaqi Zhang Di Huang B. Liu Shixiang Tang Yan Lu Lu Chen Lei Bai Qi Chu Nenghai Yu Wanli Ouyang 69 96 0 19 Jun 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 180 713 0 29 Sep 2022
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Deep Ganguli Liane Lovitt John Kernion Amanda Askell Yuntao Bai ... Nicholas Joseph Sam McCandlish C. Olah Jared Kaplan Jack Clark 218 441 0 23 Aug 2022
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts Chuan Guo Xinxin Xuo Sen Wang Li Cheng VGen 60 225 0 04 Jul 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 226 255 0 21 Mar 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,561 0 18 Sep 2019