Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?

28 February 2023

Esteve Valls Mascaro

Dongheui Lee

Papers citing "Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?"

6 / 6 papers shown

Title
CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation Xinying Guo Mingyuan Zhang Mingyuan Zhang Haozhe Xie Chenyang Gu Ziwei Liu 32 2 0 08 Jul 2024
A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis Esteve Valls Mascaro Hyemin Ahn Dongheui Lee CVBM 23 4 0 14 Aug 2023
Controlling Character Motions without Observable Driving Source Weiyuan Li Bin Dai Ziyi Zhou Qi Yao Baoyuan Wang VGen 6 1 0 11 Aug 2023
Planning with Diffusion for Flexible Behavior Synthesis Michael Janner Yilun Du J. Tenenbaum Sergey Levine DiffM 193 381 0 20 May 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 314 1,570 0 10 Nov 2021
History Repeats Itself: Human Motion Prediction via Motion Attention Wei Mao Miaomiao Liu Mathieu Salzmann 52 247 0 23 Jul 2020