Summary of May the Dance Be with You: Dance Generation Framework For Non-humanoids, by Hyemin Ahn
May the Dance be with You: Dance Generation Framework for Non-Humanoids
by Hyemin Ahn
First submitted to arxiv on: 30 May 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Robotics (cs.RO)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This AI research paper proposes a novel framework for non-humanoid agents to learn how to dance from human videos. The framework consists of two processes: training a reward model that recognizes the relationship between visual rhythm and music, and then training the agent using reinforcement learning based on this reward model. The reward model features two encoders for optical flow (visual rhythm) and music, which are trained using contrastive learning to maximize similarity between concurrent features. The experiment results show that generated dance motions align properly with music beats, and user studies indicate that the framework is preferred by humans compared to baselines. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine you want robots or machines to learn how to dance like humans do. This paper shows a way to teach them using videos of humans dancing. It’s like teaching a computer to recognize patterns in music and movement, so it can mimic human dance moves. The researchers used special techniques to train the agents (like robots) to create their own dance movements that match the music. |
Keywords
» Artificial intelligence » Optical flow » Reinforcement learning
