Summary of Solami: Social Vision-language-action Modeling For Immersive Interaction with 3d Autonomous Characters, by Jianping Jiang et al.
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters
by Jianping Jiang, Weiye Xiao, Zhengyu Lin, Huaizhong Zhang, Tianxiang Ren, Yang Gao, Zhiqian Lin, Zhongang Cai, Lei Yang, Ziwei Liu
First submitted to arxiv on: 29 Nov 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| 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 paper introduces SOLAMI, an end-to-end Social vision-Language-Action (VLA) Modeling framework for Immersive interaction with 3D autonomous characters. The framework is designed to generate multimodal responses (speech and motion) based on user input, enabling social interaction between humans and 3D characters. SOLAMI consists of three aspects: a unified social VLA architecture, an interactive multimodal dataset called SynMSI, and an immersive VR interface. Experimental results show that the framework produces more precise and natural character responses with lower latency, aligning with user expectations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Imagine having conversations with robots or characters in video games that feel like talking to a real person. This paper is about creating those kinds of interactions. They developed a new system called SOLAMI that lets 3D characters understand and respond to people’s actions, words, and emotions. This system can be used in virtual reality (VR) to create more realistic interactions between humans and machines. The researchers tested their system and found that it works well, producing responses that are natural and precise. |
