SemanticBoost: Elevating Motion Generation with Augmented Textual Cues

SemanticBoost: Elevating Motion Generation with Augmented Textual Cues

31 October 2023

Xiaohang Zhan

Ying Shan

Papers citing "SemanticBoost: Elevating Motion Generation with Augmented Textual Cues"

5 / 5 papers shown

Title
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 49 48 0 19 Jun 2023
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 177 713 0 29 Sep 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 60 138 0 04 Jul 2022
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++ Ruilong Li Sha Yang David A. Ross Angjoo Kanazawa ViT 198 467 0 21 Jan 2021
The KIT Motion-Language Dataset Matthias Plappert Christian Mandery Tamim Asfour 166 267 0 13 Jul 2016