TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts

4 July 2022

Papers citing "TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and Texts"

8 / 58 papers shown

Title
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model Mingyuan Zhang Xinying Guo Liang Pan Zhongang Cai Fangzhou Hong Huirong Li Lei Yang Ziwei Liu DiffM VGen 41 157 0 03 Apr 2023
MoFusion: A Framework for Denoising-Diffusion-based Motion Synthesis Rishabh Dabral Muhammad Hamza Mughal Vladislav Golyanik Christian Theobalt DiffM VGen 32 172 0 08 Dec 2022
UDE: A Unified Driving Engine for Human Motion Generation Zixiang Zhou Baoyuan Wang DiffM 36 60 0 29 Nov 2022
Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models Simon Alexanderson Rajmund Nagy Jonas Beskow G. Henter DiffM VGen 24 165 0 17 Nov 2022
Interaction Transformer for Human Reaction Generation Baptiste Chopin Hao Tang N. Otberdout Mohamed Daoudi N. Sebe ViT 38 27 0 04 Jul 2022
Action2video: Generating Videos of Human 3D Actions Chuan Guo Wei Ji Sen Wang Xinshuang Liu Shihao Zou Minglun Gong Li Cheng 3DH 73 22 0 12 Nov 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,796 0 24 Feb 2021
The KIT Motion-Language Dataset Matthias Plappert Christian Mandery Tamim Asfour 193 273 0 13 Jul 2016