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-# SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments
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+<h1>SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments</h1>
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+    ECCV 2024
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+
+<div>
+    <a href='https://iphome.hhi.de/gard/index.htm' target='_blank'>Niklas Gard<sup>1,2</sup></a>&emsp;
+    <a href='https://iphome.hhi.de/hilsmann/index.htm' target='_blank'>Anna Hilsmann<sup>1</sup></a>&emsp;
+    <a href='https://iphome.hhi.de/eisert/index.htm' target='_blank'>Peter Eisert<sup>1,2</sup></a>&emsp;
+</div>
+<div>
+    Fraunhofer Heinrich Hertz Institute, HHI<sup>1</sup>, Humboldt University of Berlin<sup>2</sup>
+</div>
 
 ## Project Page (coming soon) &nbsp;|&nbsp; [Paper (arXiv)](https://arxiv.org/abs/2404.10527)
 
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+![visitors](https://visitor-badge.laobi.icu/badge?page_id=gard-n/SPVLoc)
+<!--![visitors](https://visitor-badge.glitch.me/badge?page_id=gard-n/SPVLoc)-->
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 ![SPVLoc Overview](assets/overview.png)
 
 Our method calculates the indoor 6D camera pose by determining the image position and orientation relative to synthetic panoramas. The best panoramic match is found through semantic viewport matching.
 
-# Overview
+## Overview
+
+This is the code repository for the Paper: *SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments*.
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+### *Update 05.07.2024:*
 
-This is the code repository for the Paper: *SPVLoc: Semantic Panoramic Viewport Matching for 6D Camera Localization in Unseen Environments*. The source code and trained model will be added here soon.
+We are happy to announce that SPVLoc has been accepted to **ECCV 2024**. The source code is undergoing last preparations and will be added here very soon.