HumanML3D is a 3D human motion-language dataset that originates from a combination of HumanAct12 and Amass dataset. It covers a broad range of human actions such as daily activities (e.g., 'walking', 'jumping'), sports (e.g., 'swimming', 'playing golf'), acrobatics (e.g., 'cartwheel') and artistry (e.g., 'dancing'). Overall, HumanML3D dataset consists of 14,616 motions and 44,970 descriptions composed by 5,371 distinct words. The total length of motions amounts to 28.59 hours. The average motion length is 7.1 seconds, while average description length is 12 words.
Science Cast
BABEL Dataset Papers With Code
HumanML3D Dataset
PDF] Executing your Commands via Motion Diffusion in Latent Space
Experiments of MotionGPT (Spring 2023) - Human Motion Synthesis
AMASS
2307.00818] Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
Experiments of MotionGPT (Spring 2023) - Human Motion Synthesis
Top Important Computer Vision Papers for the Week from 27/11 to 03/12, by Youssef Hosni
PDF] Generating Diverse and Natural 3D Human Motions from Text
