HumanML3D Dataset

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.

PDF) DiverseMotion: Towards Diverse Human Motion Generation via Discrete Diffusion

MDM：Human Motion Diffusion Model - 知乎

MoMask: Generative Masked Modeling of 3D Human Motions

Motion2language, unsupervised learning of synchronized semantic motion segmentation

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GitHub - EricGuo5513/text-to-motion: Official implementation for Generating Diverse and Natural 3D Human Motions from Texts (CVPR2022).

RealTimeData/arxiv_july_week1_2023 · Datasets at Hugging Face

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