{"id":4848,"date":"2025-11-27T00:29:46","date_gmt":"2025-11-27T00:29:46","guid":{"rendered":"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=4848"},"modified":"2025-11-27T00:29:46","modified_gmt":"2025-11-27T00:29:46","slug":"rf-gs-radio-frequency-gaussian-splatting-for-dynamic-electromagnetic-scene-representation-2","status":"publish","type":"page","link":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/?page_id=4848","title":{"rendered":"RF-GS: Radio-Frequency Gaussian Splatting for Dynamic Electromagnetic Scene Representation"},"content":{"rendered":"\n<div data-wp-interactive=\"core\/file\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!state.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation-Rev-5.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of Radio-Frequency Gaussian Splatting for Dynamic Electromagnetic Scene Representation Rev 5.\"><\/object><a id=\"wp-block-file--media-2e7c5093-61df-4672-8866-86dd14126c2e\" href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation-Rev-5.pdf\">Radio-Frequency Gaussian Splatting for Dynamic Electromagnetic Scene Representation Rev 5<\/a><a href=\"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/wp-content\/uploads\/2025\/11\/Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation-Rev-5.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-2e7c5093-61df-4672-8866-86dd14126c2e\">Download<\/a><\/div>\n\n\n\n<h1 class=\"wp-block-heading\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#rf-gs-radio-frequency-gaussian-splatting-paper\"><\/a><\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">This directory contains the complete LaTeX source for the paper &#8220;RF-GS: Radio-Frequency Gaussian Splatting for Dynamic Electromagnetic Scene Representation&#8221; &#8211; a CVPR 2026\/SIGGRAPH 2026 submission.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation\">bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation: 3D Gaussian Splatting representation learned directly from raw radiofrequency measurements (Wi-Fi CSI, mmWave, UWB, RF-tomography) without any RGB or depth supervision.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Files<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#files\"><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>RF_GS_CVPR2026_Paper.tex<\/code>\u00a0&#8211; Main paper LaTeX source<\/li>\n\n\n\n<li><code>references.bib<\/code>\u00a0&#8211; Bibliography file with all necessary citations<\/li>\n\n\n\n<li><code>figures\/<\/code>\u00a0&#8211; Directory for paper figures (to be created)<\/li>\n\n\n\n<li><code>supplementary\/<\/code>\u00a0&#8211; Directory for supplementary material<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Paper Overview<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#paper-overview\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This paper introduces the first 3D Gaussian Splatting approach for radio-frequency sensing, enabling real-time, high-fidelity reconstruction of dynamic scenes using only RF measurements (Wi-Fi CSI, mmWave, UWB, etc.).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Key Contributions<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#key-contributions\"><\/a><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>RF-Native Supervision<\/strong>: Direct supervision of 3D Gaussians using complex-valued CSI and RF features<\/li>\n\n\n\n<li><strong>Adaptive RF Density Control<\/strong>: Novel densification\/pruning strategies for electromagnetic fields<\/li>\n\n\n\n<li><strong>Real-time Rendering<\/strong>: 200+ fps GPU-optimized renderer for RF scenes<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Results Summary<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#results-summary\"><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>9-14 dB PSNR improvement over RF-NeRF baselines<\/li>\n\n\n\n<li>35\u00d7 faster training (14 min vs 8+ hours)<\/li>\n\n\n\n<li>200\u00d7 faster rendering (214 fps vs 1 fps)<\/li>\n\n\n\n<li>Real-world deployment with commodity Wi-Fi hardware<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Figure Requirements<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#figure-requirements\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The paper requires the following figures to be generated:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Main Figures<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#main-figures\"><\/a><\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><code>figures\/teaser.pdf<\/code>\u00a0&#8211; Side-by-side RGB-GS vs RF-GS reconstruction<\/li>\n\n\n\n<li><code>figures\/qualitative.pdf<\/code>\u00a0&#8211; Qualitative comparison (RF-NeRF, RF-InstantNGP, RF-GS, GT)<\/li>\n\n\n\n<li><code>figures\/realworld_deployment.pdf<\/code>\u00a0&#8211; Real-world Wi-Fi setup and results<\/li>\n\n\n\n<li><code>figures\/temporal_analysis.pdf<\/code>\u00a0&#8211; Temporal coherence analysis graph<\/li>\n<\/ol>\n\n\n\n<h3 class=\"wp-block-heading\">Supporting Figures<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#supporting-figures\"><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Method diagrams showing RF-GS pipeline<\/li>\n\n\n\n<li>Ablation study visualizations<\/li>\n\n\n\n<li>Cross-modal performance comparisons<\/li>\n\n\n\n<li>Gaussian density visualizations<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Code Integration<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#code-integration\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This paper directly corresponds to the implementation in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>code\/neural-gaussian-splats.py<\/code>\u00a0&#8211; Main RF-GS model<\/li>\n\n\n\n<li><code>code\/neural-correspondence.py<\/code>\u00a0&#8211; Supporting correspondence fields<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Key classes referenced:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>GaussianSplatModel<\/code>\u00a0&#8211; Core RF-GS representation<\/li>\n\n\n\n<li><code>GaussianPointRenderer<\/code>\u00a0&#8211; Real-time rendering engine<\/li>\n\n\n\n<li>Adaptive density control methods (<code>prune()<\/code>,\u00a0<code>densify()<\/code>,\u00a0<code>fit_to_rf_data()<\/code>)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Compilation<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#compilation\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">To compile the paper:<\/p>\n\n\n\n<pre class=\"wp-block-preformatted\">pdflatex RF_GS_CVPR2026_Paper.tex\nbibtex RF_GS_CVPR2026_Paper\npdflatex RF_GS_CVPR2026_Paper.tex\npdflatex RF_GS_CVPR2026_Paper.tex<\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Or use your preferred LaTeX editor (Overleaf recommended for collaboration).<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Submission Timeline<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#submission-timeline\"><\/a><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Target Venue<\/strong>: CVPR 2026 (Deadline: November 2025)<\/li>\n\n\n\n<li><strong>Alternative<\/strong>: SIGGRAPH 2026 (Deadline: January 2026)<\/li>\n\n\n\n<li><strong>Status<\/strong>: Ready for figure generation and experimental validation<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Impact Potential<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#impact-potential\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This paper represents breakthrough work at the intersection of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>3D Computer Vision (Gaussian Splatting)<\/li>\n\n\n\n<li>Radio Frequency Sensing<\/li>\n\n\n\n<li>Real-time Rendering<\/li>\n\n\n\n<li>Privacy-Preserving Perception<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Expected impact: High citation potential, strong venue acceptance probability, foundational work for RF-based 3D reconstruction.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Related Papers from This Codebase<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#related-papers-from-this-codebase\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This work is part of a series extractable from the neural-gaussian-splats.py codebase:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>RF-GS<\/strong>\u00a0(this paper) &#8211; Core RF Gaussian Splatting<\/li>\n\n\n\n<li><strong>Temporal Gaussian Splatting via Neural Correspondence Fields<\/strong>\u00a0&#8211; 4D extension<\/li>\n\n\n\n<li><strong>DOMA: Dynamic Object Motion Analysis in RF<\/strong>\u00a0&#8211; Object tracking application<\/li>\n\n\n\n<li><strong>Adaptive Density Control for Non-Optical Gaussian Splatting<\/strong>\u00a0&#8211; Method generalization<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\">Contact<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\"><a href=\"https:\/\/github.com\/bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation#contact\"><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ben Gilbert &#8211; Text and Call me at 832-654-9435 |&nbsp;<a href=\"https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=14\">https:\/\/172-234-197-23.ip.linodeusercontent.com\/?page_id=14<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This directory contains the complete LaTeX source for the paper &#8220;RF-GS: Radio-Frequency Gaussian Splatting for Dynamic Electromagnetic Scene Representation&#8221; &#8211; a CVPR 2026\/SIGGRAPH 2026 submission. bgilbert1984\/RF-GS-Radio-Frequency-Gaussian-Splatting-for-Dynamic-Electromagnetic-Scene-Representation: 3D Gaussian Splatting representation learned directly from raw radiofrequency measurements (Wi-Fi CSI, mmWave, UWB, RF-tomography) without any RGB or depth supervision. Files Paper Overview This paper introduces the first&hellip;&nbsp;<\/p>\n","protected":false},"author":2,"featured_media":4850,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"class_list":["post-4848","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4848","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4848"}],"version-history":[{"count":0,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/pages\/4848\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=\/wp\/v2\/media\/4850"}],"wp:attachment":[{"href":"https:\/\/neurosphere-2.tail52f848.ts.net\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}