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<article role="main">
<section class="tex2jax_ignore mathjax_ignore" id="livescene">
<h1>LiveScene<a class="headerlink" href="#livescene" title="Permalink to this heading">#</a></h1>
<h4>Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control</h4>
<p><a class="sd-sphinx-override sd-btn sd-text-wrap sd-btn-outline-primary reference external" href="https://tavish9.github.io/livescene//"><span>Paper Website</span></a></p>
<p><a class="sd-sphinx-override sd-btn sd-text-wrap sd-btn-outline-primary reference external" href="https://github.com/Tavish9/livescene/"><span>Code</span></a></p>
<video id="demo" muted autoplay playsinline loop controls width="100%">
<source id="mp4" src="https://tavish9.github.io/livescene//static/video/demo.mp4" type="video/mp4">
</video>
<p><strong>The first scene-level language-embedded interactive radiance field, which efficiently reconstructs and controls complex physical scenes, enabling manipulation of multiple articulated objects and language-based interaction.</strong></p>
<section id="installation">
<h2>Installation<a class="headerlink" href="#installation" title="Permalink to this heading">#</a></h2>
<p>First install nerfstudio dependencies. Then run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/Tavish9/livescene
</pre></div>
</div>
</section>
<section id="running-livescene">
<h2>Running LiveScene<a class="headerlink" href="#running-livescene" title="Permalink to this heading">#</a></h2>
<p>Details for running LiveScene (built with Nerfstudio!) can be found <a class="reference external" href="https://github.com/Tavish9/livescene">here</a>.
Once installed, run:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>ns-train<span class="w"> </span>livescene<span class="w"> </span>--help
</pre></div>
</div>
<p>There is only one default configuration provided. However, you can run it for different datasets.</p>
<p>The default configurations provided is:</p>
<div class="table-wrapper colwidths-auto docutils container">
<table class="docutils align-default">
<thead>
<tr class="row-odd"><th class="head"><p>Method</p></th>
<th class="head"><p>Description</p></th>
<th class="head"><p>Memory</p></th>
<th class="head"><p>Quality</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">livescene</span></code></p></td>
<td><p>LiveScene with OpenCLIP ViT-B/16, used in paper</p></td>
<td><p>~8 GB</p></td>
<td><p>Good</p></td>
</tr>
</tbody>
</table>
</div>
<p>There are two new dataparser provider for LiveScene:</p>
<div class="table-wrapper colwidths-auto docutils container">
<table class="docutils align-default">
<thead>
<tr class="row-odd"><th class="head"><p>Method</p></th>
<th class="head"><p>Description</p></th>
<th class="head"><p>Scene type</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">livescene-sim</span></code></p></td>
<td><p>OmniSim dataset for LiveScene</p></td>
<td><p>Synthetic dataset</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">livescene-real</span></code></p></td>
<td><p>InterReal dataset for LiveScene</p></td>
<td><p>Real dataset</p></td>
</tr>
</tbody>
</table>
</div>
</section>
<section id="method">
<h2>Method<a class="headerlink" href="#method" title="Permalink to this heading">#</a></h2>
<p>LiveScene proposes an efficient factorization that decomposes the interactive scene into multiple local deformable fields to separately reconstruct individual interactive objects, achieving the first accurate and independent control on multiple interactive objects in a complex scene. Moreover, LiveScene introduces an interaction-aware language embedding method that generates varying language embeddings to localize individual interactive objects under different interactive states, enabling arbitrary control of interactive objects using natural language.</p>
<section id="overview">
<h3>Overview<a class="headerlink" href="#overview" title="Permalink to this heading">#</a></h3>
<p>Given a camera view and control variable <span class="math notranslate nohighlight">\(\boldsymbol{\kappa}\)</span> of one specific interactive object, a series 3D points are sampled in a local deformable field that models the interactive motions of this specific interactive object, and then the interactive object with novel interactive motion state is generated via volume-rendering. Moreover, an interaction-aware language embedding is utilized to localize and control individual interactive objects using natural language.</p>
<a class="reference internal image-reference" href="https://tavish9.github.io/livescene//static/image/pipeline.png"><img alt="https://tavish9.github.io/livescene//static/image/pipeline.png" src="https://tavish9.github.io/livescene//static/image/pipeline.png" style="width: 100%;" /></a>
</section>
<section id="multi-scale-interaction-space-factorization">
<h3>Multi-scale Interaction Space Factorization<a class="headerlink" href="#multi-scale-interaction-space-factorization" title="Permalink to this heading">#</a></h3>
<p>LiveScene maintains mutiple local deformable fields <span class="math notranslate nohighlight">\(\left \{\mathcal{R}_1, \mathcal{R}\_2, \cdots \mathcal{R}_\alpha \right \}\)</span> for each interactive object in the 4D space, and project high-dimensional interaction features into a compact multi-scale 4D space. In training, LiveScene denotes a feature repulsion loss and to amplify the feature differences between distinct deformable scenes, which relieve the boundary ray sampling and feature storage conflicts.</p>
<a class="reference internal image-reference" href="https://tavish9.github.io/livescene//static/image/decompose.png"><img alt="https://tavish9.github.io/livescene//static/image/decompose.png" src="https://tavish9.github.io/livescene//static/image/decompose.png" style="width: 100%;" /></a>
</section>
<section id="interaction-aware-language-embedding">
<h3>Interaction-Aware Language Embedding<a class="headerlink" href="#interaction-aware-language-embedding" title="Permalink to this heading">#</a></h3>
<p>LiveScene Leverages the proposed multi-scale interaction space factorization to efficiently store language features in lightweight planes by indexing the maximum probability sampling instead of 3D fields in LERF. For any sampling point <span class="math notranslate nohighlight">\(\mathbf{p}\)</span>, it retrieves local language feature group, and perform bilinear interpolation to obtain a language embedding that adapts to interactive variable changes from surrounding clip features.</p>
<a class="reference internal image-reference" href="https://tavish9.github.io/livescene//static/image/embeds.png"><img alt="https://tavish9.github.io/livescene//static/image/embeds.png" src="https://tavish9.github.io/livescene//static/image/embeds.png" style="width: 100%;" /></a>
</section>
</section>
<section id="dataset">
<h2>Dataset<a class="headerlink" href="#dataset" title="Permalink to this heading">#</a></h2>
<p>To our knowledge, existing view synthetic datasets for interactive scene rendering are primarily limited to a few interactive objects, making it impractical to scale up to real scenarios involving multi-object interactions. To bridge this gap, we construct two scene-level, high-quality annotated datasets to advance research progress in reconstructing and understanding interactive scenes: OminiSim and InterReal, containing 28 subsets and 70 interactive objects with 2 million samples, providing rgbd images, camera trajectories, interactive object masks, prompt captions, and corresponding object state quantities at each time step.</p>
<video id="dataset" muted autoplay playsinline loop controls width="100%">
<source id="mp4" src="https://tavish9.github.io/livescene//static/video/livescene_dataset.mp4" type="video/mp4">
</video>
</section>
<section id="interaction">
<h2>Interaction<a class="headerlink" href="#interaction" title="Permalink to this heading">#</a></h2>
<p>For more interaction with viewer, please see <a class="reference external" href="https://github.com/Tavish9/livescene?tab=readme-ov-file#3-interact-with-viewer">here</a>.</p>
</section>
<section id="bibtex">
<h2>BibTeX<a class="headerlink" href="#bibtex" title="Permalink to this heading">#</a></h2>
<p>If you find our work helpful for your research, please consider citing</p>
<div class="highlight-none notranslate"><div class="highlight"><pre><span></span>@misc{livescene2024,
title={LiveScene: Language Embedding Interactive Radiance Fields for Physical Scene Rendering and Control},
author={Delin Qu, Qizhi Chen, Pingrui Zhang, Xianqiang Gao, Bin Zhao, Zhigang Wang, Dong Wang†, Xuelong Li†},
year={2024},
eprint={2406.16038},
archivePrefix={arXiv},
}
</pre></div>
</div>
</section>
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<ul>
<li><a class="reference internal" href="#">LiveScene</a><ul>
<li><a class="reference internal" href="#installation">Installation</a></li>
<li><a class="reference internal" href="#running-livescene">Running LiveScene</a></li>
<li><a class="reference internal" href="#method">Method</a><ul>
<li><a class="reference internal" href="#overview">Overview</a></li>
<li><a class="reference internal" href="#multi-scale-interaction-space-factorization">Multi-scale Interaction Space Factorization</a></li>
<li><a class="reference internal" href="#interaction-aware-language-embedding">Interaction-Aware Language Embedding</a></li>
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<li><a class="reference internal" href="#dataset">Dataset</a></li>
<li><a class="reference internal" href="#interaction">Interaction</a></li>
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