deploy: 1cc3d22

main/_modules/gsplat/cuda/_torch_impl.html

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     <meta name="color-scheme" content="light dark"><link rel="index" title="Index" href="../../../genindex.html" /><link rel="search" title="Search" href="../../../search.html" />
 
-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>gsplat.cuda._torch_impl - gsplat documentation</title>
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main/_modules/gsplat/cuda/_wrapper.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
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main/_modules/gsplat/rendering.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>gsplat.rendering - gsplat documentation</title>
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main/_modules/gsplat/strategy/default.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>gsplat.strategy.default - gsplat documentation</title>
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main/_modules/gsplat/strategy/mcmc.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>gsplat.strategy.mcmc - gsplat documentation</title>
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main/_modules/index.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Overview: module code - gsplat documentation</title>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=a746c00c" />
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main/_sources/tests/eval.rst.txt

@@ -21,6 +21,32 @@ exactly the same performance on PSNR, SSIM, LPIPS, and converged number of Gauss
 Powered by `gsplat`'s efficient CUDA implementation, the training takes up to 
 **4x less GPU memory** with up to **15% less time** to finish than the official implementation.
 
+Feature Ablation
+----------------------------------------------
+Evaluation of features provided in `gsplat` on Mip-NeRF (averaged over 7 scenes). We ablate `gsplat` with default settings, with absgrad and mcmc densification strategies, and antialiased mode.
+Absgrad method uses `--grow_grad2d 0.0006` config. These results are obtained with an A100.
+
++-----------------------------+-------+-------+-------+----------+---------+------------+
+|                             | PSNR  | SSIM  | LPIPS | Num GSs  | Mem (GB)| Time (min) |
++=============================+=======+=======+=======+==========+=========+============+
+| gsplat (default settings)   | 29.00 | 0.87  | 0.14  | 3237318  | 5.62    | 19.39      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| absgrad                     | 29.11 | 0.88  | 0.12  | 2465986  | 4.40    | 18.10      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| antialiased                 | 29.03 | 0.87  | 0.14  | 3377807  | 5.87    | 19.52      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| mcmc  (1 mill)              | 29.18 | 0.87  | 0.14  | 1000000  | 1.98    | 15.42      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| mcmc  (2 mill)              | 29.53 | 0.88  | 0.13  | 2000000  | 3.43    | 21.79      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| mcmc  (3 mill)              | 29.65 | 0.89  | 0.12  | 3000000  | 4.99    | 27.63      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| absgrad & antialiased       | 29.14 | 0.88  | 0.13  | 2563156  | 4.57    | 18.43      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+| mcmc & antialiased          | 29.23 | 0.87  | 0.14  | 1000000  | 2.00    | 15.75      |
++-----------------------------+-------+-------+-------+----------+---------+------------+
+
+
 Trains Faster with Less GPU Memory
 ----------------------------------------------
 

main/apis/rasterization.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Rasterization - gsplat documentation</title>
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main/apis/strategy.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Densification Strategy - gsplat documentation</title>
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main/apis/utils.html

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+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Utils - gsplat documentation</title>
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main/conventions/data_conventions.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Data Conventions - gsplat documentation</title>
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main/examples/colmap.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Fit a COLMAP Capture - gsplat documentation</title>
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main/examples/image.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Fit a Single Image - gsplat documentation</title>
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main/examples/large_scale.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Render a Large Scene - gsplat documentation</title>
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main/genindex.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 --><title>Index - gsplat documentation</title>
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 --><title>Index - gsplat documentation</title>
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main/index.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>gsplat documentation</title>
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main/migration/migration_inria.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Migrate from diff-gaussian-rasterization - gsplat documentation</title>
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main/migration/migration_legacy.html

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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Migrate from gsplat v0.1.11 - gsplat documentation</title>
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main/search.html

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     <meta name="viewport" content="width=device-width,initial-scale=1"/>
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-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
 <meta name="robots" content="noindex" />
 <title>Search - gsplat  documentation</title><link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
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main/tests/eval.html

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     <meta name="color-scheme" content="light dark"><meta name="viewport" content="width=device-width, initial-scale=1" />
 <link rel="index" title="Index" href="../genindex.html" /><link rel="search" title="Search" href="../search.html" /><link rel="next" title="Profiling" href="profile.html" /><link rel="prev" title="Utils" href="../apis/utils.html" />
 
-    <!-- Generated with Sphinx 7.4.6 and Furo 2024.07.18 -->
+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Evaluation - gsplat documentation</title>
       <link rel="stylesheet" type="text/css" href="../_static/pygments.css?v=a746c00c" />
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@@ -366,6 +366,91 @@ <h1>Evaluation<a class="headerlink" href="#evaluation" title="Link to this headi
 exactly the same performance on PSNR, SSIM, LPIPS, and converged number of Gaussians.
 Powered by <cite>gsplat</cite>’s efficient CUDA implementation, the training takes up to
 <strong>4x less GPU memory</strong> with up to <strong>15% less time</strong> to finish than the official implementation.</p>
+<section id="feature-ablation">
+<h2>Feature Ablation<a class="headerlink" href="#feature-ablation" title="Link to this heading">¶</a></h2>
+<p>Evaluation of features provided in <cite>gsplat</cite> on Mip-NeRF (averaged over 7 scenes). We ablate <cite>gsplat</cite> with default settings, with absgrad and mcmc densification strategies, and antialiased mode.
+Absgrad method uses <cite>–grow_grad2d 0.0006</cite> config. These results are obtained with an A100.</p>
+<div class="table-wrapper docutils container">
+<table class="docutils align-default">
+<thead>
+<tr class="row-odd"><th class="head"></th>
+<th class="head"><p>PSNR</p></th>
+<th class="head"><p>SSIM</p></th>
+<th class="head"><p>LPIPS</p></th>
+<th class="head"><p>Num GSs</p></th>
+<th class="head"><p>Mem (GB)</p></th>
+<th class="head"><p>Time (min)</p></th>
+</tr>
+</thead>
+<tbody>
+<tr class="row-even"><td><p>gsplat (default settings)</p></td>
+<td><p>29.00</p></td>
+<td><p>0.87</p></td>
+<td><p>0.14</p></td>
+<td><p>3237318</p></td>
+<td><p>5.62</p></td>
+<td><p>19.39</p></td>
+</tr>
+<tr class="row-odd"><td><p>absgrad</p></td>
+<td><p>29.11</p></td>
+<td><p>0.88</p></td>
+<td><p>0.12</p></td>
+<td><p>2465986</p></td>
+<td><p>4.40</p></td>
+<td><p>18.10</p></td>
+</tr>
+<tr class="row-even"><td><p>antialiased</p></td>
+<td><p>29.03</p></td>
+<td><p>0.87</p></td>
+<td><p>0.14</p></td>
+<td><p>3377807</p></td>
+<td><p>5.87</p></td>
+<td><p>19.52</p></td>
+</tr>
+<tr class="row-odd"><td><p>mcmc  (1 mill)</p></td>
+<td><p>29.18</p></td>
+<td><p>0.87</p></td>
+<td><p>0.14</p></td>
+<td><p>1000000</p></td>
+<td><p>1.98</p></td>
+<td><p>15.42</p></td>
+</tr>
+<tr class="row-even"><td><p>mcmc  (2 mill)</p></td>
+<td><p>29.53</p></td>
+<td><p>0.88</p></td>
+<td><p>0.13</p></td>
+<td><p>2000000</p></td>
+<td><p>3.43</p></td>
+<td><p>21.79</p></td>
+</tr>
+<tr class="row-odd"><td><p>mcmc  (3 mill)</p></td>
+<td><p>29.65</p></td>
+<td><p>0.89</p></td>
+<td><p>0.12</p></td>
+<td><p>3000000</p></td>
+<td><p>4.99</p></td>
+<td><p>27.63</p></td>
+</tr>
+<tr class="row-even"><td><p>absgrad &amp; antialiased</p></td>
+<td><p>29.14</p></td>
+<td><p>0.88</p></td>
+<td><p>0.13</p></td>
+<td><p>2563156</p></td>
+<td><p>4.57</p></td>
+<td><p>18.43</p></td>
+</tr>
+<tr class="row-odd"><td><p>mcmc &amp; antialiased</p></td>
+<td><p>29.23</p></td>
+<td><p>0.87</p></td>
+<td><p>0.14</p></td>
+<td><p>1000000</p></td>
+<td><p>2.00</p></td>
+<td><p>15.75</p></td>
+</tr>
+</tbody>
+</table>
+</div>
+</section>
 <section id="trains-faster-with-less-gpu-memory">
 <h2>Trains Faster with Less GPU Memory<a class="headerlink" href="#trains-faster-with-less-gpu-memory" title="Link to this heading">¶</a></h2>
 <div class="table-wrapper docutils container">
@@ -759,6 +844,7 @@ <h2>Reproduced Metrics<a class="headerlink" href="#reproduced-metrics" title="Li
           <div class="toc-tree">
             <ul>
 <li><a class="reference internal" href="#">Evaluation</a><ul>
+<li><a class="reference internal" href="#feature-ablation">Feature Ablation</a></li>
 <li><a class="reference internal" href="#trains-faster-with-less-gpu-memory">Trains Faster with Less GPU Memory</a></li>
 <li><a class="reference internal" href="#reproduced-metrics">Reproduced Metrics</a></li>
 </ul>

main/tests/profile.html

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     <meta name="color-scheme" content="light dark"><meta name="viewport" content="width=device-width, initial-scale=1" />
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+    <!-- Generated with Sphinx 7.4.7 and Furo 2024.07.18 -->
         <title>Profiling - gsplat documentation</title>
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