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.

arxiv-sanity

Awesome-Motion-Diffusion-Models 系列论文列表 - 知乎

PDF] Generating Diverse and Natural 3D Human Motions from Text

3D Body Keypoint Datasets — MMPose 1.3.1 documentation

Generating Diverse and Natural 3D Human Motions from Texts

VQ-VAE motion reconstruction results on HumanML3D[16] test set. ↑ / ↓

Human3.6M Dataset

2307.00818] Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Creating Authentic Human Motion Synthesis via Diffusion - Metaphysic.ai

Generate Movement from Text Descriptions with T2M-GPT - Voxel51

Experiments of MotionGPT (Spring 2023) - Human Motion Synthesis

2307.00818] Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Cross-Modal Retrieval for Motion and Text via DropTriple Loss

Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

2307.00818] Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset