✨Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
📝 Summary:
RMG is a new framework representing human motion on a product manifold and learning dynamics via Riemannian flow matching. This geometry-aware approach achieves state-of-the-art results on HumanML3D and MotionMillion, showing that modeling non-Euclidean motion geometry leads to more stable and ef...
🔹 Publication Date: Published on Mar 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15016
• PDF: https://arxiv.org/pdf/2603.15016
• Project Page: https://frank-miao.github.io/RMG-Project-Page
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Frank-miao/RMG
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#HumanMotionGeneration #RiemannianGeometry #MachineLearning #AIResearch #GenerativeModels
📝 Summary:
RMG is a new framework representing human motion on a product manifold and learning dynamics via Riemannian flow matching. This geometry-aware approach achieves state-of-the-art results on HumanML3D and MotionMillion, showing that modeling non-Euclidean motion geometry leads to more stable and ef...
🔹 Publication Date: Published on Mar 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.15016
• PDF: https://arxiv.org/pdf/2603.15016
• Project Page: https://frank-miao.github.io/RMG-Project-Page
✨ Spaces citing this paper:
• https://huggingface.co/spaces/Frank-miao/RMG
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#HumanMotionGeneration #RiemannianGeometry #MachineLearning #AIResearch #GenerativeModels