HumanML3D Dataset
By A Mystery Man Writer
Description
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.
Awesome-Motion-Diffusion-Models 系列论文列表 - 知乎
NeurIPS 2023
Ling-Hao CHEN's Homepage
Top Important Computer Vision Papers for the Week from 27/11 to 03/12, by Youssef Hosni
Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
3D Body Keypoint Datasets — MMPose 1.3.1 documentation
Guo_Generating_Diverse_and_CVPR_2022_supplemental, PDF, Probability Distribution
J. Imaging, Free Full-Text
arxiv-sanity
arxiv-sanity
arxiv-sanity
Motion Mamba: Efficient and Long Sequence Motion Generation with Hierarchical and Bidirectional Selective SSM
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