Summary of Kinmo: Kinematic-aware Human Motion Understanding and Generation, by Pengfei Zhang et al.
KinMo: Kinematic-aware Human Motion Understanding and Generation
by Pengfei Zhang, Pinxin Liu, Hyeongwoo Kim, Pablo Garrido, Bindita Chaudhuri
First submitted to arxiv on: 23 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Graphics (cs.GR)
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper introduces KinMo, a unified framework for human motion synthesis that addresses the modality gap between global action descriptions and motion understanding. It presents a hierarchical describable motion representation that incorporates kinematic group movements and their interactions. The framework includes an automated annotation pipeline to generate high-quality, fine-grained descriptions for the decomposition, resulting in the KinMo dataset. The authors propose Hierarchical Text-Motion Alignment to improve spatial understanding by integrating additional motion details. They also introduce a coarse-to-fine generation procedure to leverage enhanced spatial understanding for improved motion synthesis. Experimental results show that KinMo significantly improves motion understanding and enables more fine-grained motion generation and editing capabilities. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary KinMo is a new way to understand and generate human motions. Right now, we can’t accurately describe small details in motions like how fast someone’s legs are moving or where their arms are placed. This makes it hard for computers to understand and create realistic motions. The authors of this paper created KinMo, a system that breaks down motions into smaller parts and assigns words to each part. They also made a dataset with lots of examples of these small motion details. With KinMo, computers can better understand and generate human motions, making it possible for us to create more realistic animations or videos. |
Keywords
» Artificial intelligence » Alignment