🔖 Fixed website

.github/workflows/static.yml

@@ -0,0 +1,43 @@
+# Simple workflow for deploying static content to GitHub Pages
+name: Deploy static content to Pages
+
+on:
+  # Runs on pushes targeting the default branch
+  push:
+    branches: ["main"]
+
+  # Allows you to run this workflow manually from the Actions tab
+  workflow_dispatch:
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
+# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+jobs:
+  # Single deploy job since we're just deploying
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+      - name: Setup Pages
+        uses: actions/configure-pages@v5
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          # Upload entire repository
+          path: '.'
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

README.md

@@ -10,11 +10,22 @@
 
 Official implementation for
 <br>
-[EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering ](http://arxiv.org/abs/2306.08045)
+[EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering ](https://arxiv.org/abs/2511.16542)
 
+[![arXiv](https://img.shields.io/badge/arxiv-2306.08045-b31b1b.svg)](https://arxiv.org/pdf/2511.16542)
+[![Project page](https://img.shields.io/badge/Project_page-8A2BE2)](https://gardiens.github.io/eogs2)
 
-[🌍  Project webpage](https://mezzelfo.github.io/EOGS/)
 
+[🌍  Project webpage](https://gardiens.github.io/EOGS2/)
+```
+@article{bournez2025eogsearthobservationgaussian,
+  title={EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering},
+  author={Bournez, Pierrick and Savant Aira, Luca and Ehret, Thibaud and Facciolo, Gabriele},
+  journal={arXiv preprint arXiv:2511.16542},
+  year={2025},
+  url={https://arxiv.org/abs/2511.16542}
+}
+```
 
 
 ## 📌  Description
@@ -66,7 +77,7 @@ bash install.sh
 
 Download the dataset from the **GitHub Release page**:
 
-➡️ https://github.com/mezzelfo/EOGS/releases/download/dataset_v01/data.zip
+➡️ https://github.com/gardiens/EOGS2/releases/download/data/data.zip
 
 Extract it into the `data` folder :
 
@@ -154,24 +165,23 @@ python src/gaussiansplatting/full_eval_pan.py experiments=eogsplus mode=onlyMSI
 
 ## 💳  Credits
 
-- This project was built using the [original EOGS repo ](https://github.com/mezzelfo/EOGS/tree/master).
-- The documentation was heavily inspired by the [SuperPoint Transformers repo](https://github.com/drprojects/superpoint_transformer)
+- This project was built using the [original EOGS github ](https://github.com/mezzelfo/EOGS/tree/master).
+- The documentation was heavily inspired by the [SuperPoint Transformers github](https://github.com/drprojects/superpoint_transformer)
 
 
 <br>
 
 ## Citing our work
 
 If your work uses all or part of the present code, please include the following a citation:
-
 ```
-@article{cella2025resqdrone,
-  title={ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios},
-  author={Cella, Marco and Biber, J{\"u}rgen and Bournez, Pierrick and Salzinger, Jules and Widhalm, Verena and Vultaggio, Francesco and d’Apolito, Francesco and Bruckm{\"u}ller, Felix and Sulzbachner, Christoph and Fanta-Jende, Phillipp},
-  journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
-  volume={48},
-  pages={47--54},
+@article{bournez2025eogsearthobservationgaussian,
+  title={EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering},
+  author={Bournez, Pierrick and Savant Aira, Luca and Ehret, Thibaud and Facciolo, Gabriele},
+  journal={arXiv preprint arXiv:2511.16542},
   year={2025},
-  publisher={Copernicus GmbH}}
+  url={https://arxiv.org/abs/2511.16542}
+}
 ```
-You can find our [paper on arxiv 📄](http://arxiv.org/abs/2306.08045).
+
+You can find our [paper on arxiv 📄](https://arxiv.org/abs/2511.16542).

docs/_config.yaml

@@ -0,0 +1,2 @@
+title: EOGS++ website 
+description: official website for the EOGS++ paper

website/index.html → docs/index.html

@@ -138,16 +138,17 @@ <h1 class="title is-1 publication-title"> EOGS++: Earth Observation Gaussian Spl
           <div class="is-size-5 publication-authors">
 
             <span class="author-block"><sup>1</sup>Universite Paris-Saclay, CNRS, ENS Paris-Saclay, Centre Borelli, 91190, Gif-sur-Yvette, France</span>
-            <span class="author-block"><sup>2</sup>AMIAD, Pôle Recherche, France</span>
 
-             <span class="author-block"><sup>3</sup> Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italia </span>
+
+             <span class="author-block"><sup>2</sup> Politecnico di Torino, Corso Duca degli Abruzzi, 24, 10129 Torino TO, Italia </span>
+              <span class="author-block"><sup>3</sup>AMIAD, Pôle Recherche, France</span>
           </div>
 
           <div class="column has-text-centered">
             <div class="publication-links">
               <!-- PDF Link. -->
               <span class="link-block">
-                <a href="https://gitlab-student.centralesupelec.fr/test-groupe/EOGS"
+                <a href="https://arxiv.org/abs/2511.16542"
                    class="external-link button is-normal is-rounded is-dark">
                   <span class="icon">
                       <i class="fas fa-file-pdf"></i>
@@ -156,7 +157,7 @@ <h1 class="title is-1 publication-title"> EOGS++: Earth Observation Gaussian Spl
                 </a>
               </span>
               <span class="link-block">
-                <a href="https://gitlab-student.centralesupelec.fr/test-groupe/EOGS"
+                <a href="https://arxiv.org/abs/2511.16542"
                    class="external-link button is-normal is-rounded is-dark">
                   <span class="icon">
                       <i class="ai ai-arxiv"></i>
@@ -166,23 +167,22 @@ <h1 class="title is-1 publication-title"> EOGS++: Earth Observation Gaussian Spl
               </span>
 
               <span class="link-block">
-                <a href="https://gitlab-student.centralesupelec.fr/test-groupe/EOGS"
+                <a href="https://github.com/gardiens/EOGS2"
                    class="external-link button is-normal is-rounded is-dark">
                   <span class="icon">
                       <i class="fab fa-github"></i>
                   </span>
                   <span>Code</span>
                   </a>
               </span>
-              <!-- Dataset Link.
               <span class="link-block">
-                <a href="https://github.com/google/nerfies/releases/tag/0.1"
+                <a href="https://github.com/gardiens/EOGS2/releases/tag/data"
                    class="external-link button is-normal is-rounded is-dark">
                   <span class="icon">
                       <i class="far fa-images"></i>
                   </span>
                   <span>Data</span>
-                  </a> -->
+                  </a>
             </div>
 
           </div>
@@ -422,11 +422,11 @@ <h2 class="title is-3 has-text-centered"> Related links</h2>
           <p>
             <a href="https://mezzelfo.github.io/EOGS/">EOGS</a> introduces a Gaussian Splatting framework tailored to satellite data, providing efficient reconstruction pipelines for large-scale scenes.
           </p>
-          <p>
-            These resources offer valuable complementary perspectives and highlight the rapidly evolving landscape of neural reconstruction methods for Earth observation.
+          <!-- <p>
+            You can find the [dev repo here](https://gitlab-student.centralesupelec.fr/test-groupe/EOGS)
 
 
-          </p>
+          </p> -->
 
         </div>
       </div>
@@ -441,15 +441,14 @@ <h2 class="title is-3 has-text-centered"> Related links</h2>
 <section class="section" id="BibTeX">
   <div class="container is-max-desktop content">
     <h2 class="title">BibTeX</h2>
-    <pre><code>@article{cella2025resqdrone,
-  title={ResQDrone: Autonomous Indoor Quadcopter for Multi-Layered Mapping in Crisis and Disaster Management Scenarios},
-  author={Cella, Marco and Biber, J{\"u}rgen and Bournez, Pierrick and Salzinger, Jules and Widhalm, Verena and Vultaggio, Francesco and d’Apolito, Francesco and Bruckm{\"u}ller, Felix and Sulzbachner, Christoph and Fanta-Jende, Phillipp},
-  journal={The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
-  volume={48},
-  pages={47--54},
+    <pre><code>@article{bournez2025eogsearthobservationgaussian,
+  title={EOGS++: Earth Observation Gaussian Splatting with Internal Camera Refinement and Direct Panchromatic Rendering},
+  author={Bournez, Pierrick and Savant Aira, Luca and Ehret, Thibaud and Facciolo, Gabriele},
+  journal={arXiv preprint arXiv:2511.16542},
   year={2025},
-  publisher={Copernicus GmbH}
-}</code></pre>
+  url={https://arxiv.org/abs/2511.16542}
+}
+</code></pre>
   </div>
 </section>
 

src/gaussiansplatting/convert.py

@@ -0,0 +1,171 @@
+#
+# Copyright (C) 2023, Inria
+# GRAPHDECO research group, https://team.inria.fr/graphdeco
+# All rights reserved.
+#
+# This software is free for non-commercial, research and evaluation use
+# under the terms of the LICENSE.md file.
+#
+# For inquiries contact  [email protected]
+#
+
+import os
+import logging
+from argparse import ArgumentParser
+import shutil
+
+# This Python script is based on the shell converter script provided in the MipNerF 360 repository.
+parser = ArgumentParser("Colmap converter")
+parser.add_argument("--no_gpu", action="store_true")
+parser.add_argument("--skip_matching", action="store_true")
+parser.add_argument("--source_path", "-s", required=True, type=str)
+parser.add_argument("--camera", default="OPENCV", type=str)
+parser.add_argument("--colmap_executable", default="", type=str)
+parser.add_argument("--resize", action="store_true")
+parser.add_argument("--magick_executable", default="", type=str)
+args = parser.parse_args()
+colmap_command = (
+    '"{}"'.format(args.colmap_executable)
+    if len(args.colmap_executable) > 0
+    else "colmap"
+)
+magick_command = (
+    '"{}"'.format(args.magick_executable)
+    if len(args.magick_executable) > 0
+    else "magick"
+)
+use_gpu = 1 if not args.no_gpu else 0
+
+if not args.skip_matching:
+    os.makedirs(args.source_path + "/distorted/sparse", exist_ok=True)
+
+    ## Feature extraction
+    feat_extracton_cmd = (
+        colmap_command + " feature_extractor "
+        "--database_path "
+        + args.source_path
+        + "/distorted/database.db \
+        --image_path "
+        + args.source_path
+        + "/input \
+        --ImageReader.single_camera 1 \
+        --ImageReader.camera_model "
+        + args.camera
+        + " \
+        --SiftExtraction.use_gpu "
+        + str(use_gpu)
+    )
+    exit_code = os.system(feat_extracton_cmd)
+    if exit_code != 0:
+        logging.error(f"Feature extraction failed with code {exit_code}. Exiting.")
+        exit(exit_code)
+
+    ## Feature matching
+    feat_matching_cmd = (
+        colmap_command
+        + " exhaustive_matcher \
+        --database_path "
+        + args.source_path
+        + "/distorted/database.db \
+        --SiftMatching.use_gpu "
+        + str(use_gpu)
+    )
+    exit_code = os.system(feat_matching_cmd)
+    if exit_code != 0:
+        logging.error(f"Feature matching failed with code {exit_code}. Exiting.")
+        exit(exit_code)
+
+    ### Bundle adjustment
+    # The default Mapper tolerance is unnecessarily large,
+    # decreasing it speeds up bundle adjustment steps.
+    mapper_cmd = (
+        colmap_command
+        + " mapper \
+        --database_path "
+        + args.source_path
+        + "/distorted/database.db \
+        --image_path "
+        + args.source_path
+        + "/input \
+        --output_path "
+        + args.source_path
+        + "/distorted/sparse \
+        --Mapper.ba_global_function_tolerance=0.000001"
+    )
+    exit_code = os.system(mapper_cmd)
+    if exit_code != 0:
+        logging.error(f"Mapper failed with code {exit_code}. Exiting.")
+        exit(exit_code)
+
+### Image undistortion
+## We need to undistort our images into ideal pinhole intrinsics.
+img_undist_cmd = (
+    colmap_command
+    + " image_undistorter \
+    --image_path "
+    + args.source_path
+    + "/input \
+    --input_path "
+    + args.source_path
+    + "/distorted/sparse/0 \
+    --output_path "
+    + args.source_path
+    + "\
+    --output_type COLMAP"
+)
+exit_code = os.system(img_undist_cmd)
+if exit_code != 0:
+    logging.error(f"Mapper failed with code {exit_code}. Exiting.")
+    exit(exit_code)
+
+files = os.listdir(args.source_path + "/sparse")
+os.makedirs(args.source_path + "/sparse/0", exist_ok=True)
+# Copy each file from the source directory to the destination directory
+for file in files:
+    if file == "0":
+        continue
+    source_file = os.path.join(args.source_path, "sparse", file)
+    destination_file = os.path.join(args.source_path, "sparse", "0", file)
+    shutil.move(source_file, destination_file)
+
+if args.resize:
+    print("Copying and resizing...")
+
+    # Resize images.
+    os.makedirs(args.source_path + "/images_2", exist_ok=True)
+    os.makedirs(args.source_path + "/images_4", exist_ok=True)
+    os.makedirs(args.source_path + "/images_8", exist_ok=True)
+    # Get the list of files in the source directory
+    files = os.listdir(args.source_path + "/images")
+    # Copy each file from the source directory to the destination directory
+    for file in files:
+        source_file = os.path.join(args.source_path, "images", file)
+
+        destination_file = os.path.join(args.source_path, "images_2", file)
+        shutil.copy2(source_file, destination_file)
+        exit_code = os.system(
+            magick_command + " mogrify -resize 50% " + destination_file
+        )
+        if exit_code != 0:
+            logging.error(f"50% resize failed with code {exit_code}. Exiting.")
+            exit(exit_code)
+
+        destination_file = os.path.join(args.source_path, "images_4", file)
+        shutil.copy2(source_file, destination_file)
+        exit_code = os.system(
+            magick_command + " mogrify -resize 25% " + destination_file
+        )
+        if exit_code != 0:
+            logging.error(f"25% resize failed with code {exit_code}. Exiting.")
+            exit(exit_code)
+
+        destination_file = os.path.join(args.source_path, "images_8", file)
+        shutil.copy2(source_file, destination_file)
+        exit_code = os.system(
+            magick_command + " mogrify -resize 12.5% " + destination_file
+        )
+        if exit_code != 0:
+            logging.error(f"12.5% resize failed with code {exit_code}. Exiting.")
+            exit(exit_code)
+
+print("Done.")