Summary of Video2game: Real-time, Interactive, Realistic and Browser-compatible Environment From a Single Video, by Hongchi Xia et al.
Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video
by Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, Shenlong Wang
First submitted to arxiv on: 15 Apr 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI)
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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 paper presents Video2Game, a novel approach to automatically convert videos of real-world scenes into realistic and interactive game environments. The system consists of three core components: (i) neural radiance fields (NeRF), which captures the scene’s geometry and visual appearance; (ii) mesh module for faster rendering; and (iii) physics module that models object interactions. By following a designed pipeline, users can create an interactable digital replica of the real world. The system is benchmarked on indoor and outdoor scenes, demonstrating highly-realistic renderings in real-time and interactive game capabilities. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper makes it possible to turn videos of real-world scenes into super realistic and interactive video games! It’s like having a magic box that can make anything look like it’s from your favorite game. The team came up with a special way to break down the video into three parts: one that figures out what everything looks like, another that makes it look good fast, and another that makes things move around in a realistic way. They tested it on different scenes and showed how it can make super cool games. |
