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<!doctype html>
<html lang="en">
<head>
<title>NerfBaselines: Dataset Mip-NeRF 360</title>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<link rel="icon" href="/favicon.ico" type="image/x-icon" sizes="256x256">
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<script src="/scripts.js" defer></script>
</head>
<body class="main-container">
<main>
<div class="results-page__header">
<h1>
Mip-NeRF 360<a class="text-blue" href="javascript:history.back()"><i class="ti ti-arrow-back-up"></i></a>
</h1>
<p class="text-justify">
Mip-NeRF 360 is a collection of four indoor and five outdoor object-centric scenes. The camera trajectory is an orbit around the object with fixed elevation and radius. The test set takes each n-th frame of the trajectory as test views.
</p>
<div class="results-page__header-links">
<div>Web: <a href="https://jonbarron.info/mipnerf360/" class="text-blue link-underline">https://jonbarron.info/mipnerf360/</a></div>
<div>Paper: <a href="https://arxiv.org/pdf/2111.12077.pdf" class="text-blue link-underline">Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields</a></div>
<div>Authors: <span style="font-weight: normal;font-style: italic">Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman</span></div>
</div>
</div>
<div class="table-container">
<table class="table">
<thead class="table__header">
<th class="w70"></th>
<th class="w120"><span class="table__sortbutton" title="Sort by method name (ascending)">Method <i class="ti" /></span></th>
<th><span class="table__sortbutton" title="Sort by PSNR (ascending)">PSNR <i class="ti" /></span></th>
<th><span class="table__sortbutton" title="Sort by SSIM (ascending)">SSIM <i class="ti" /></span></th>
<th><span class="table__sortbutton" title="Sort by LPIPS (VGG) (ascending)">LPIPS (VGG) <i class="ti" /></span></th>
<th><span class="table__sortbutton" title="Sort by time (ascending)">Time <i class="ti" /></span></th>
<th><span class="table__sortbutton" title="Sort by GPU mem. (ascending)">GPU mem. <i class="ti" /></span></th>
</thead>
<tbody class="expand-root">
<tr data-expand-id="colmap">
<td class="w70">
<span class="table__expandtoggle table__action ti" data-expand-id="colmap" title="Expand"></span>
</td>
<td class="w120" data-sort-value="3"><a href="/m-colmap">COLMAP</a></td>
<td data-sort-value="0"><span class="table__allowcopy">16.67</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">0.445</span>
</td>
<td data-sort-value="16"><span class="table__allowcopy">0.590</span>
</td>
<td data-sort-value="14"><span class="table__allowcopy">2h 52m 55s</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/garden.zip" title="Download checkpoint and predictions for scene garden" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-garden.json" title="Online demo for scene garden" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-garden.json" title="Online demo for scene garden" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="4">garden</td>
<td data-sort-value="7"><span class="table__allowcopy">18.87</span>
</td>
<td data-sort-value="4"><span class="table__allowcopy">0.468</span>
</td>
<td data-sort-value="144"><span class="table__allowcopy">0.477</span>
</td>
<td data-sort-value="127"><span class="table__allowcopy">1h 35m 12s</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/bicycle.zip" title="Download checkpoint and predictions for scene bicycle" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-bicycle.json" title="Online demo for scene bicycle" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-bicycle.json" title="Online demo for scene bicycle" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="0">bicycle</td>
<td data-sort-value="6"><span class="table__allowcopy">18.29</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">0.352</span>
</td>
<td data-sort-value="150"><span class="table__allowcopy">0.644</span>
</td>
<td data-sort-value="130"><span class="table__allowcopy">3h 19m 55s</span>
</td>
<td data-sort-value="1"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/flowers.zip" title="Download checkpoint and predictions for scene flowers" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-flowers.json" title="Online demo for scene flowers" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-flowers.json" title="Online demo for scene flowers" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="3">flowers</td>
<td data-sort-value="1"><span class="table__allowcopy">14.50</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">0.257</span>
</td>
<td data-sort-value="149"><span class="table__allowcopy">0.634</span>
</td>
<td data-sort-value="128"><span class="table__allowcopy">1h 51m 21s</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/treehill.zip" title="Download checkpoint and predictions for scene treehill" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-treehill.json" title="Online demo for scene treehill" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-treehill.json" title="Online demo for scene treehill" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="8">treehill</td>
<td data-sort-value="3"><span class="table__allowcopy">15.73</span>
</td>
<td data-sort-value="1"><span class="table__allowcopy">0.340</span>
</td>
<td data-sort-value="152"><span class="table__allowcopy">0.726</span>
</td>
<td data-sort-value="126"><span class="table__allowcopy">1h 6m 41s</span>
</td>
<td data-sort-value="3"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/stump.zip" title="Download checkpoint and predictions for scene stump" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-stump.json" title="Online demo for scene stump" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-stump.json" title="Online demo for scene stump" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="7">stump</td>
<td data-sort-value="8"><span class="table__allowcopy">19.65</span>
</td>
<td data-sort-value="3"><span class="table__allowcopy">0.366</span>
</td>
<td data-sort-value="151"><span class="table__allowcopy">0.646</span>
</td>
<td data-sort-value="129"><span class="table__allowcopy">3h 6m 50s</span>
</td>
<td data-sort-value="4"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/kitchen.zip" title="Download checkpoint and predictions for scene kitchen" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-kitchen.json" title="Online demo for scene kitchen" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-kitchen.json" title="Online demo for scene kitchen" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="5">kitchen</td>
<td data-sort-value="5"><span class="table__allowcopy">17.35</span>
</td>
<td data-sort-value="5"><span class="table__allowcopy">0.497</span>
</td>
<td data-sort-value="147"><span class="table__allowcopy">0.575</span>
</td>
<td data-sort-value="131"><span class="table__allowcopy">3h 31m 29s</span>
</td>
<td data-sort-value="5"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/bonsai.zip" title="Download checkpoint and predictions for scene bonsai" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-bonsai.json" title="Online demo for scene bonsai" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-bonsai.json" title="Online demo for scene bonsai" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="1">bonsai</td>
<td data-sort-value="0"><span class="table__allowcopy">14.06</span>
</td>
<td data-sort-value="6"><span class="table__allowcopy">0.548</span>
</td>
<td data-sort-value="148"><span class="table__allowcopy">0.586</span>
</td>
<td data-sort-value="133"><span class="table__allowcopy">3h 45m 27s</span>
</td>
<td data-sort-value="6"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/counter.zip" title="Download checkpoint and predictions for scene counter" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-counter.json" title="Online demo for scene counter" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-counter.json" title="Online demo for scene counter" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="2">counter</td>
<td data-sort-value="2"><span class="table__allowcopy">15.04</span>
</td>
<td data-sort-value="7"><span class="table__allowcopy">0.549</span>
</td>
<td data-sort-value="146"><span class="table__allowcopy">0.520</span>
</td>
<td data-sort-value="132"><span class="table__allowcopy">3h 45m 10s</span>
</td>
<td data-sort-value="7"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-by="colmap" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/colmap/mipnerf360/room.zip" title="Download checkpoint and predictions for scene room" class="ti table__action ti-download ti-blue"></a>
<a href="/viewer/?p=colmap-mipnerf360-room.json" title="Online demo for scene room" class="ti table__action ti-cube ti-green"></a>
<a href="/viewer/?p=colmap-mipnerf360-room.json" title="Online demo for scene room" class="ti table__action ti-view-360-number ti-green"></a>
</td>
<td class="w120" data-sort-value="6">room</td>
<td data-sort-value="4"><span class="table__allowcopy">16.55</span>
</td>
<td data-sort-value="8"><span class="table__allowcopy">0.628</span>
</td>
<td data-sort-value="145"><span class="table__allowcopy">0.505</span>
</td>
<td data-sort-value="134"><span class="table__allowcopy">3h 54m 6s</span>
</td>
<td data-sort-value="8"><span class="table__allowcopy">0.00 MB</span>
</td>
</tr>
<tr data-expand-id="instant-ngp">
<td class="w70">
<span class="table__expandtoggle table__action ti" data-expand-id="instant-ngp" title="Expand"></span>
</td>
<td class="w120" data-sort-value="8"><a href="/m-instant-ngp">Instant NGP</a></td>
<td data-sort-value="1"><span class="table__allowcopy">25.51</span>
</td>
<td data-sort-value="1"><span class="table__allowcopy">0.684</span>
</td>
<td data-sort-value="15"><span class="table__allowcopy">0.398</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">3m 54s</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">7.79 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/garden.zip" title="Download checkpoint and predictions for scene garden" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="4">garden</td>
<td data-sort-value="13"><span class="table__allowcopy">24.78</span>
</td>
<td data-sort-value="13"><span class="table__allowcopy">0.654</span>
</td>
<td data-sort-value="137"><span class="table__allowcopy">0.346</span>
</td>
<td data-sort-value="4"><span class="table__allowcopy">3m 57s</span>
</td>
<td data-sort-value="22"><span class="table__allowcopy">6.86 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/bicycle.zip" title="Download checkpoint and predictions for scene bicycle" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="0">bicycle</td>
<td data-sort-value="11"><span class="table__allowcopy">23.00</span>
</td>
<td data-sort-value="10"><span class="table__allowcopy">0.526</span>
</td>
<td data-sort-value="142"><span class="table__allowcopy">0.489</span>
</td>
<td data-sort-value="1"><span class="table__allowcopy">3m 37s</span>
</td>
<td data-sort-value="20"><span class="table__allowcopy">6.29 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/flowers.zip" title="Download checkpoint and predictions for scene flowers" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="3">flowers</td>
<td data-sort-value="9"><span class="table__allowcopy">20.54</span>
</td>
<td data-sort-value="9"><span class="table__allowcopy">0.462</span>
</td>
<td data-sort-value="141"><span class="table__allowcopy">0.478</span>
</td>
<td data-sort-value="6"><span class="table__allowcopy">4m 2s</span>
</td>
<td data-sort-value="19"><span class="table__allowcopy">6.26 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/treehill.zip" title="Download checkpoint and predictions for scene treehill" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="8">treehill</td>
<td data-sort-value="10"><span class="table__allowcopy">22.36</span>
</td>
<td data-sort-value="11"><span class="table__allowcopy">0.528</span>
</td>
<td data-sort-value="143"><span class="table__allowcopy">0.526</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">3m 40s</span>
</td>
<td data-sort-value="21"><span class="table__allowcopy">6.51 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/stump.zip" title="Download checkpoint and predictions for scene stump" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="7">stump</td>
<td data-sort-value="12"><span class="table__allowcopy">23.84</span>
</td>
<td data-sort-value="12"><span class="table__allowcopy">0.590</span>
</td>
<td data-sort-value="140"><span class="table__allowcopy">0.439</span>
</td>
<td data-sort-value="3"><span class="table__allowcopy">3m 52s</span>
</td>
<td data-sort-value="18"><span class="table__allowcopy">6.07 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/kitchen.zip" title="Download checkpoint and predictions for scene kitchen" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="5">kitchen</td>
<td data-sort-value="15"><span class="table__allowcopy">29.02</span>
</td>
<td data-sort-value="15"><span class="table__allowcopy">0.844</span>
</td>
<td data-sort-value="135"><span class="table__allowcopy">0.255</span>
</td>
<td data-sort-value="8"><span class="table__allowcopy">4m 19s</span>
</td>
<td data-sort-value="24"><span class="table__allowcopy">9.52 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/bonsai.zip" title="Download checkpoint and predictions for scene bonsai" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="1">bonsai</td>
<td data-sort-value="17"><span class="table__allowcopy">30.30</span>
</td>
<td data-sort-value="17"><span class="table__allowcopy">0.890</span>
</td>
<td data-sort-value="136"><span class="table__allowcopy">0.295</span>
</td>
<td data-sort-value="0"><span class="table__allowcopy">3m 33s</span>
</td>
<td data-sort-value="25"><span class="table__allowcopy">9.61 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/counter.zip" title="Download checkpoint and predictions for scene counter" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="2">counter</td>
<td data-sort-value="14"><span class="table__allowcopy">26.56</span>
</td>
<td data-sort-value="14"><span class="table__allowcopy">0.812</span>
</td>
<td data-sort-value="138"><span class="table__allowcopy">0.373</span>
</td>
<td data-sort-value="7"><span class="table__allowcopy">4m 10s</span>
</td>
<td data-sort-value="23"><span class="table__allowcopy">9.25 GB</span>
</td>
</tr>
<tr data-expand-by="instant-ngp" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/instant-ngp/mipnerf360/room.zip" title="Download checkpoint and predictions for scene room" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="6">room</td>
<td data-sort-value="16"><span class="table__allowcopy">29.16</span>
</td>
<td data-sort-value="16"><span class="table__allowcopy">0.850</span>
</td>
<td data-sort-value="139"><span class="table__allowcopy">0.383</span>
</td>
<td data-sort-value="5"><span class="table__allowcopy">3m 59s</span>
</td>
<td data-sort-value="26"><span class="table__allowcopy">9.73 GB</span>
</td>
</tr>
<tr data-expand-id="nerfacto">
<td class="w70">
<span class="table__expandtoggle table__action ti" data-expand-id="nerfacto" title="Expand"></span>
</td>
<td class="w120" data-sort-value="11"><a href="/m-nerfacto">NerfStudio</a></td>
<td data-sort-value="2"><span class="table__allowcopy">26.39</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">0.731</span>
</td>
<td data-sort-value="14"><span class="table__allowcopy">0.343</span>
</td>
<td data-sort-value="2"><span class="table__allowcopy">19m 30s</span>
</td>
<td data-sort-value="1"><span class="table__allowcopy">5.86 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/garden.zip" title="Download checkpoint and predictions for scene garden" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="4">garden</td>
<td data-sort-value="22"><span class="table__allowcopy">25.89</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's PSNR: 26.47</span>
</div>
</td>
<td data-sort-value="22"><span class="table__allowcopy">0.752</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's SSIM: 0.774</span>
</div>
</td>
<td data-sort-value="128"><span class="table__allowcopy">0.254</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's LPIPS (VGG): 0.235</span>
</div>
</td>
<td data-sort-value="22"><span class="table__allowcopy">19m 31s</span>
</td>
<td data-sort-value="13"><span class="table__allowcopy">5.30 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/bicycle.zip" title="Download checkpoint and predictions for scene bicycle" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="0">bicycle</td>
<td data-sort-value="20"><span class="table__allowcopy">23.58</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's PSNR: 24.08</span>
</div>
</td>
<td data-sort-value="20"><span class="table__allowcopy">0.567</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's SSIM: 0.599</span>
</div>
</td>
<td data-sort-value="133"><span class="table__allowcopy">0.456</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's LPIPS (VGG): 0.422</span>
</div>
</td>
<td data-sort-value="20"><span class="table__allowcopy">19m 12s</span>
</td>
<td data-sort-value="10"><span class="table__allowcopy">5.15 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/flowers.zip" title="Download checkpoint and predictions for scene flowers" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="3">flowers</td>
<td data-sort-value="18"><span class="table__allowcopy">21.16</span>
</td>
<td data-sort-value="18"><span class="table__allowcopy">0.511</span>
</td>
<td data-sort-value="132"><span class="table__allowcopy">0.434</span>
</td>
<td data-sort-value="19"><span class="table__allowcopy">19m 6s</span>
</td>
<td data-sort-value="11"><span class="table__allowcopy">5.22 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/treehill.zip" title="Download checkpoint and predictions for scene treehill" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="8">treehill</td>
<td data-sort-value="19"><span class="table__allowcopy">22.85</span>
</td>
<td data-sort-value="19"><span class="table__allowcopy">0.549</span>
</td>
<td data-sort-value="134"><span class="table__allowcopy">0.488</span>
</td>
<td data-sort-value="23"><span class="table__allowcopy">19m 31s</span>
</td>
<td data-sort-value="12"><span class="table__allowcopy">5.24 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/stump.zip" title="Download checkpoint and predictions for scene stump" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="7">stump</td>
<td data-sort-value="21"><span class="table__allowcopy">25.81</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's PSNR: 24.78</span>
</div>
</td>
<td data-sort-value="21"><span class="table__allowcopy">0.697</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's SSIM: 0.662</span>
</div>
</td>
<td data-sort-value="131"><span class="table__allowcopy">0.353</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's LPIPS (VGG): 0.38</span>
</div>
</td>
<td data-sort-value="18"><span class="table__allowcopy">18m 53s</span>
</td>
<td data-sort-value="9"><span class="table__allowcopy">5.15 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/kitchen.zip" title="Download checkpoint and predictions for scene kitchen" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="5">kitchen</td>
<td data-sort-value="24"><span class="table__allowcopy">29.92</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's PSNR: 30.29</span>
</div>
</td>
<td data-sort-value="25"><span class="table__allowcopy">0.883</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's SSIM: 0.89</span>
</div>
</td>
<td data-sort-value="126"><span class="table__allowcopy">0.200</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's LPIPS (VGG): 0.19</span>
</div>
</td>
<td data-sort-value="26"><span class="table__allowcopy">20m 5s</span>
</td>
<td data-sort-value="15"><span class="table__allowcopy">6.66 GB</span>
</td>
</tr>
<tr data-expand-by="nerfacto" style="display: none">
<td class="w70">
<a href="https://huggingface.co/nerfbaselines/nerfbaselines/resolve/main/nerfacto/mipnerf360/bonsai.zip" title="Download checkpoint and predictions for scene bonsai" class="ti table__action ti-download ti-blue"></a>
</td>
<td class="w120" data-sort-value="1">bonsai</td>
<td data-sort-value="25"><span class="table__allowcopy">30.59</span>
<i class="ti ti-info-circle table__infoicon"></i>
<div class="table__infobox">
<span>Paper's PSNR: 32.16</span>
</div>
</td>