Realistic Human Motion Generation with Cross-Diffusion Models

18 December 2023

Papers citing "Realistic Human Motion Generation with Cross-Diffusion Models"

8 / 8 papers shown

Title
Progressive Human Motion Generation Based on Text and Few Motion Frames Ling-an Zeng Gaojie Wu Ancong Wu Jian-Fang Hu Wei-Shi Zheng 64 1 0 17 Mar 2025
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation Zhengxiong Luo Dayou Chen Yingya Zhang Yan Huang Liangsheng Wang Yujun Shen Deli Zhao Jinren Zhou Tien-Ping Tan DiffM VGen 132 215 0 15 Mar 2023
Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model Zhiyuan Ren Zhihong Pan Xingfa Zhou Le Kang VGen DiffM 55 38 0 22 Oct 2022
Human Motion Diffusion Model Guy Tevet Sigal Raab Brian Gordon Yonatan Shafir Daniel Cohen-Or Amit H. Bermano DiffM VGen 199 724 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 75 229 0 04 Jul 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 203 418 0 16 May 2022
Dynamic Multiscale Graph Neural Networks for 3D Skeleton-Based Human Motion Prediction Maosen Li Siheng Chen Yangheng Zhao Ya-Qin Zhang Yanfeng Wang Qi Tian AI4CE 3DH 93 302 0 17 Mar 2020
The KIT Motion-Language Dataset Matthias Plappert Christian Mandery Tamim Asfour 193 273 0 13 Jul 2016