Timo: T aming Mult i modal Diffusion Transformer for Human Mo tion Generation

arXiv:2609.30761 · cs.CV · Submitted 2026-09-25 · Read on arXiv

cs.CV

Submitted: 2026-09-25

Updated: 2026-09-25

Project page: https://kyfafyd.wang/projects/timo

Terminology

• Transformer — 15× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Flow Matching — 13× in this paper · explained in 7 episodes
• Alignment — 10× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Rectified Flow — 6× in this paper · explained in 3 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Joint Attention — 5× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Decode — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Annotation Errors — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Alignment — 1× in this paper · explained in 3 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes

Sources

• Training Deep Nets with Sublinear Memory Cost
• Classifier-Free Diffusion Guidance
• HunyuanVideo: A Systematic Framework For Large Video Generative Models
• Back to Basics: Let Denoising Generative Models Denoise
• The Quest for Generalizable Motion Generation: Data, Model, and Evaluation
• Embody 3D: A Large-scale Multimodal Motion and Behavior Dataset
• Absolute Coordinates Make Motion Generation Easy
• Kimodo: Scaling Controllable Human Motion Generation
• GLU Variants Improve Transformer
• Holistic-Motion2D: Scalable Whole-body Human Motion Generation in 2D Space
• HY-Motion 1.0: Scaling Flow Matching Models for Text-To-Motion Generation
• Motion Anything: Any to Motion Generation

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