用提示词生成4D室内场景，模拟逼真射频信号。
Scalable RF Simulation in Generative 4D Worlds
- 通过语言引导生成含人体运动的4D场景，自动规划轨迹。
- 仿真信号在相位敏感任务上表现优异，接近真实测量数据。
- 适合做射频感知数据增强，尤其适合需要大量合成数据的研究者。
射频（RF）感知已成为多种感知任务中一种强大且保护隐私的视觉替代方案。然而，在动态多变环境中构建高质量的RF数据集仍是主要挑战。为此，我们提出WaveVerse，一个基于提示词的可扩展框架，能够从由空间路径引导的人体运动生成的室内场景中模拟真实的射频信号，实现无需手动设计轨迹的多样化且合理的动作行为。WaveVerse包含语言引导的4D世界生成器和基于物理的信号模拟器，能保持时空相位一致性。其采用相位相干射线追踪技术，确保空间与时间上的相位连续性。仿真信号在相位敏感基准测试中表现出高保真度，与真实采集数据及专有电磁求解器的仿真结果高度一致。用于数据增强时，WaveVerse在射频成像与人体活动识别等下游任务中持续提升性能，增益随模拟数据量增加而增长，并超越现有方法。代码与补充材料可在网页获取。
原文摘要 · Abstract (English)
Radio Frequency (RF) sensing has emerged as a powerful, privacy-preserving alternative to vision-based methods for various perception tasks. However, building high-quality RF datasets in dynamic and diverse environments remains a major challenge. To address this, we introduce WaveVerse, a prompt-based, scalable framework that simulates realistic RF signals from generated indoor scenes with human motions guided by spatial paths, enabling diverse and feasible behaviors without manual trajectory design. WaveVerse features a language-guided 4D world generator and a physics-based signal simulator that enables realistic simulation of RF signals in diverse environments. It employs a phase-coherent ray tracer that preserves both spatial and temporal phase consistency. The simulated signals show high fidelity on phase-sensitive benchmarks, and closely align with both real-world collected measurements and simulations from a proprietary electromagnetic solver. When used for data augmentation, WaveVerse consistently improves performance in downstream tasks like RF imaging and human activity recognition, with gains that grow with the amount of simulated data and surpass existing methods. Code and additional materials are available on the webpage.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。