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EM-NeRF

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# EM-NeRF
This repository collects influential research that applies Neural Radiance Fields (NeRF), differentiable ray tracing, and emerging Gaussian Splatting techniques to electromagnetic wave propagation, wireless channel modeling, radio-frequency mapping, and related applications. It traces the field’s evolution—from early NeRF-driven frameworks like NeRF2, through recent adaptations of 3D Gaussian Splatting for RF tasks. These works showcase a transition toward explicit, efficient, and scalable methods for reconstructing and simulating complex wireless environments.

Date format: DD/MM/YYYY

## 2025

* **Radiance-Field Reinforced Pretraining: Scaling Localization Models with Unlabeled Wireless Signals**, Guosheng Wang, Shen Wang, et al.  
Submitted on 08/12/2025
  [[Paper](https://arxiv.org/abs/2512.07309)]

* **Environment-Aware Channel Inference via Cross-Modal Flow: From Multimodal Sensing to Wireless Channels**, Guangming Liang, Mingjie Yang, et al.  
Submitted on 04/12/2025
  [[Paper](https://arxiv.org/abs/2512.04966)]

* **Bridging Data Gaps: Enhancing Wireless Localization with Physics-Informed Data Augmentation**, Md Mumtahin Habib Ullah Mazumder, Frost Mitchell, et al.  
Published on 25/11/2025
  [[Paper](https://dl.acm.org/doi/abs/10.1145/3768995)]

* **One Walk is All You Need: Data-Efficient 3D RF Scene Reconstruction with Human Movements**, Yiheng Bian, Zechen Li, et al.  
Submitted on 21/11/2025
  [[Paper](https://arxiv.org/abs/2511.16966)]

* **A Geometry Map-Based Site-Specific Propagation Channel Model for Urban Scenarios**, Junzhe Song, Ruisi He, et al.  
Submitted on 14/11/2025
  [[Paper](https://arxiv.org/abs/2511.11386)]

* **Diffusion^2: Turning 3D Environments into Radio Frequency Heatmaps**, Kyoungjun Park, Yifan Yang, et al.  
Submitted on 02/10/2025
  [[Paper](https://arxiv.org/abs/2510.02274)]

* **Scene Structure Based Neural Radio-Frequency Radiance Fields for Channel Knowledge Map Construction**, Kaicheng Liu, Wenjun Jiang, et al.  
Published on 29/09/2025
  [[Paper](https://ieeexplore.ieee.org/abstract/document/11184507)]

* **6G Twin: Hybrid Gaussian Radio Fields for Channel Estimation and Non-Linear Precoder Design for Radio Access Networks**, Muhammad Ahmed Mohsin, Muhammad Umer, et al.  
Submitted on 23/09/2025
  [[Paper](https://arxiv.org/abs/2509.18735)]

* **Radio Frequency Ray Tracing via Stochastic Geometry**  
Published on 20/09/2025
  [[Paper](https://openreview.net/pdf?id=FSkseQQgPu)]

* **Radio Propagation Modelling: To Differentiate or To Deep Learn, That Is The Question**, Stefanos Bakirtzis, Paul Almasan, et al.  
Submitted on 15/09/2025
  [[Paper](https://arxiv.org/abs/2509.19337)]

* **RF-PGS: Fully-structured Spatial Wireless Channel Representation with Planar Gaussian Splatting**, Lihao Zhang, Zongtan Li, et al.  
Submitted on 23/08/2025
  [[Paper](https://arxiv.org/abs/2508.16849)]
  [[Code](https://github.com/SunLab-UGA/RF-PGS)]

* **Neural Gaussian Radio Fields for Channel Estimation**, Muhammad Umer, Muhammad Ahmed Mohsin, et al.  
Submitted on 06/08/2025
  [[Paper](https://arxiv.org/abs/2508.11668)]

* **Frequency-Aware Neural Radio-Frequency Radiance Fields**, Xiaopeng Zhao, Zhenlin An, et al.  
Published on 03/07/2025
  [[Paper](https://ieeexplore.ieee.org/document/11068936)]

* **Commercial RFIDs as Reconfigurable Intelligent Surfaces**, Jingyu Tong, Xiaopeng Zhao, et al.  
Published on 01/07/2025
  [[Paper](https://ieeexplore.ieee.org/abstract/document/11044470)]

* **GeNeRT: A Physics-Informed Approach to Intelligent Wireless Channel Modeling via Generalizable Neural Ray Tracing**, Kejia Bian, Meixia Tao, et al.  
Submitted on 23/06/2025
  [[Paper](https://arxiv.org/abs/2506.18295)]

* **Rasterizing Wireless Radiance Field via Deformable 2D Gaussian Splatting**, Mufan Liu, Cixiao Zhang, et al.  
Submitted on 15/06/2025
  [[Paper](https://arxiv.org/abs/2506.12787)]

* **Can NeRFs See without Cameras?**, Chaitanya Amballa, Sattwik Basu, et al.  
Submitted on 28/05/2025
  [[Paper](https://arxiv.org/abs/2505.22441)]

* **NEAR: Neural Electromagnetic Array Response**, Yinyan Bu, Jiajie Yu, et al.  
Submitted on 01/05/2025
  [[Paper](https://openreview.net/forum?id=yXcY4wKAG7)]

* **FERMI: Flexible Radio Mapping with a Hybrid Propagation Model and Scalable Autonomous Data Collection**, Yiming Luo, Yunfei Wang, et al.  
Submitted on 21/04/2025
  [[Paper](https://arxiv.org/abs/2504.14862)]

* **3D Student Splatting and Scooping**, Jialin Zhu, Jiangbei Yue, et al.  
Submitted on 13/03/2025
  [[Paper](https://arxiv.org/abs/2503.10148)]

* **Neural Reflectance Fields for Radio-Frequency Ray Tracing**, Haifeng Jia, Xinyi Chen, et al.  
Published on 11/03/2025
  [[Paper](https://ieeexplore.ieee.org/document/10901842)]

* **RadSplatter: Extending 3D Gaussian Splatting to Radio Frequencies for Wireless Radiomap Extrapolation**, Yiheng Wang, Ye Xue, et al.  
Submitted on 18/02/2025
  [[Paper](https://arxiv.org/abs/2502.12686)]

* **Scalable 3D Gaussian Splatting-Based RF Signal Spatial Propagation Modeling**, Kang Yang, Gaofeng Dong, et al.  
Submitted on 03/02/2025
  [[Paper](https://arxiv.org/abs/2502.01826)]

* **RayLoc: Wireless Indoor Localization via Fully Differentiable Ray-tracing**, Xueqiang Han, Tianyue Zheng, et al.  
Submitted on 21/01/2025
  [[Paper](https://arxiv.org/abs/2501.17881)]

## 2024

* **Active Sampling and Gaussian Reconstruction for Radio Frequency Radiance Field**, Chi-Shiang Gau, Xingyu Chen, et al.  
Submitted on 11/12/2024
  [[Paper](https://arxiv.org/abs/2412.08003)]

* **WRF-GS: Wireless Radiation Field Reconstruction with 3D Gaussian Splatting**, Chaozheng Wen, Jingwen Tong, et al.  
Submitted on 06/12/2024
  [[Paper](https://arxiv.org/abs/2412.04832)]
  [[Code](https://github.com/wenchaozheng/WRF-GS)]

* **RF-3DGS: Wireless Channel Modeling with Radio Radiance Field and 3D Gaussian Splatting**, Lihao Zhang, Haijian Sun, et al.  
Submitted on 29/11/2024
  [[Paper](https://arxiv.org/abs/2411.19420)]

* **Radio Frequency Ray Tracing with Neural Object Representation**, Xingyu Chen, Zihao Feng, et al.  
Submitted on 16/11/2024
  [[Paper](https://arxiv.org/abs/2411.18635)]

* **SANDWICH: Towards an Offline, Differentiable, Fully-Trainable Wireless Neural Ray-Tracing Surrogate**, Yifei Jin, Ali Maatouk, et al.  
Submitted on 13/11/2024
  [[Paper](https://arxiv.org/abs/2411.08767)]

* **RFCanvas: Modeling RF Channel by Fusing Visual Priors and Few-shot RF Measurements**, Xingyu Chen, Zihao Feng, et al.  
Published on 04/11/2024
  [[Paper](https://dl.acm.org/doi/10.1145/3666025.3699351)]

* **Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations**, Shuaifeng Jiang, Qi Qu, et al.  
Submitted on 04/09/2024
  [[Paper](https://arxiv.org/abs/2409.02564)]

* **Crowdsourced Geospatial Intelligence: Constructing 3D Urban Maps with Satellitic Radiance Fields**, Xiaopeng Zhao, Shen Wang, et al.  
Published on 09/2024
  [[Paper](https://dl.acm.org/doi/pdf/10.1145/3678572)]

* **SpecNeRF: Neural Radiance Field Driven Wireless Coverage Mapping for 5G Networks**, Amartya Basu, Ayon Chakraborty  
Published on 01/08/2024
  [[Paper](https://dl.acm.org/doi/10.1145/3641512.3690037)]

* **Physics-Informed Neural Networks for Path Loss Estimation by Solving Electromagnetic Integral Equations**, Fenyu Jiang, Tong Li, et al.  
Published on 23/07/2024
  [[Paper](https://ieeexplore.ieee.org/document/10608081)]

* **Probabilistic and Differentiable Wireless Simulation with Geometric Transformers**, Thomas Hehn, Markus Peschl, et al.  
Submitted on 21/06/2024
  [[Paper](https://arxiv.org/abs/2406.14995)]

* **Embracing Radiance Field Rendering in 6G: Over-the-Air Training and Inference with 3D Contents**, Guanlin Wu, Zhonghao Lyu, et al.  
Submitted on 20/05/2024
  [[Paper](https://arxiv.org/abs/2405.12155)]

* **R-NeRF: Neural Radiance Fields for Modeling RIS-enabled Wireless Environments**, Huiying Yang, Zihan Jin, et al.  
Submitted on 19/05/2024
  [[Paper](https://arxiv.org/abs/2405.11541)]
  [[code](https://github.com/Meta-EM-star/R-NeRF)]

* **DART: Implicit Doppler Tomography for Radar Novel View Synthesis**, Tianshu Huang, John Miller, et al.  
Submitted on 06/03/2024 
  [[Paper](https://arxiv.org/abs/2403.03896)]
  [[code](https://github.com/WiseLabCMU/dart)]

* **RF-Diffusion: Radio Signal Generation via Time-Frequency Diffusion**, Guoxuan Chi, Zheng Yang, et al.
Submitted on 14/04/2024
  [[Paper](https://arxiv.org/abs/2404.09140)]
  [[Code](https://github.com/mobicom24/RF-Diffusion)]

* **NeWRF: A Deep Learning Framework for Wireless Radiation Field Reconstruction and Channel Prediction**, Haofan Lu, Christopher Vattheuer, et al.  
Submitted on 05/03/2024 
  [[Paper](https://arxiv.org/abs/2403.03241v2)]
  [[Code](https://github.com/LuHaofan/NeWRF)]

* **Physics-informed Generalizable Wireless Channel Modeling with Segmentation and Deep Learning: Fundamentals, Methodologies, and Challenges**, Ethan Zhu, Haijian Sun, et al.  
Submitted on 02/01/2024
  [[Paper](https://arxiv.org/abs/2401.01288)]

## 2023

* **WiSegRT: Dataset for Site-Specific Indoor Radio Propagation Modeling with 3D Segmentation and Differentiable Ray-Tracing**, Lihao Zhang, Haijian Sun, et al.  
Submitted on 18/12/2023
  [[Paper](https://arxiv.org/abs/2312.11245)]
  [[code](https://github.com/SunLab-UGA/WiSegRT)]

* **Learning Radio Environments by Differentiable Ray Tracing**, Jakob Hoydis, Fayçal Aït Aoudia, et al.  
Submitted on 30/11/2023
  [[Paper](https://arxiv.org/abs/2311.18558)]

* **Differentiable Radio Frequency Ray Tracing for Millimeter-Wave Sensing**, Xingyu Chen, Xinyu Zhang, et al.  
Submitted on 22/11/2023
  [[Paper](https://arxiv.org/abs/2311.13182)]

* **Environment-driven mmWave Beamforming for Multi-user Immersive Applications**, Ahmad Kamari, Nan Wu, et al.  
Published on 06/10/2023 
  [[Paper](https://dl.acm.org/doi/10.1145/3615452.3617945)]

* **NeRF2: Neural Radio-Frequency Radiance Fields**, Xiaopeng Zhao, Zhenlin An, et al.  
Submitted on 05/10/2023 
  [[Paper](https://dl.acm.org/doi/10.1145/3570361.3592527)]
  [[code](https://github.com/XPengZhao/NeRF2)]

* **Tuning of Ray-Based Channel Model for 5G Indoor Industrial Scenarios**, Gurjot Singh Bhatia, Yoann Corre, et al.  
Submitted on 12/09/2023
  [[Paper](https://arxiv.org/abs/2309.06101)]

* **MMWave Vehicular Networking Using Street View Imagery in Urban Environments**, Ahmad Kamari, Yoon Chae, et al.  
Published on 02/08/2023
  [[Paper](https://dl.acm.org/doi/10.1145/3570361.3613291)]

* **Codebook Configuration for RIS-aided Systems via Implicit Neural Representations**, Huiying Yang, Rujing Xiong, et al.  
Submitted on 01/06/2023
  [[Paper](https://arxiv.org/abs/2306.00544)]
  [[Code](https://github.com/Meta-EM-star/Codebook_Inr)]

* **WiThRay: A Versatile Ray-Tracing Simulator for Smart Wireless Environments**, Hyuckjin Choi, Jaehoon Chung, et al.  
Submitted on 22/04/2023 
  [[Paper](https://arxiv.org/abs/2304.11385)]

* **Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling**, Jakob Hoydis, Fayçal Aït Aoudia, et al.  
Submitted on 20/03/2023 
  [[Paper](https://arxiv.org/abs/2303.11103)]

* **WinERT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations**, Tribhuvanesh Orekondy, Kumar Pratik, et al.  
Published in 2023
  [[Paper](https://www.semanticscholar.org/paper/WiNeRT%3A-Towards-Neural-Ray-Tracing-for-Wireless-and-Orekondy-Pratik/e113d13819cf35029c11d171ff039ab01e61226c)]

## 2022 and before
* **Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems**, Jared Willard, Xiaowei Jia, et al.  
Published on 21/11/2022
  [[Paper](https://doi.org/10.1145/3514228)]

* **Radio Map Estimation: A Data-Driven Approach to Spectrum Cartography**, Daniel Romero, Seung-Jun Kim, et al.  
Published on 27/08/2022
  [[Paper](https://ieeexplore.ieee.org/document/9931518)]

* **Computer Vision Aided mmWave Beam Alignment in V2X Communications**, Weihua Xu, Feifei Gao, et al.  
Published on 18/08/2022
  [[Paper](https://ieeexplore.ieee.org/document/9923616)]

* **Em Deepray: An Expedient, Generalizable, and Realistic Data-driven Indoor Propagation Model**, Stefanos Bakirtzis, Jiming Chen, et al.  
Published on 09/05/2022
  [[Paper](https://ieeexplore.ieee.org/document/9771088)]

* **Toward Physics-Based Generalizable Convolutional Neural Network Models for Indoor Propagation**, Aristeidis Seretis, Costas D. Sarris, et al.  
Published on 05/01/2022
  [[Paper](https://ieeexplore.ieee.org/document/9670666)]

* **Physics-Informed Machine Learning**, George Em Karniadakis, Ioannis G. Kevrekidis, et al.  
Published on 24/05/2021
  [[Paper](https://www.nature.com/articles/s42254-021-00314-5)]

EM-NeRF

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