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<h3class="title is-4">Re-rendering the input video</h3>
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<divclass="content has-text-justified">
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<p>
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Using <spanclass="dnerf">Nerfies</span>, you can re-render a video from a novel
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viewpoint such as a stabilized camera by playing back the training deformations.
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</p>
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</div>
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<divclass="content has-text-centered">
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<videoid="replay-video"
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controls
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muted
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preload
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playsinline
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width="75%">
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<sourcesrc="./static/videos/replay.mp4"
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type="video/mp4">
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</video>
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</div>
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<!--/ Re-rendering. -->
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</div>
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</div>
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<!--/ Animation. -->
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<!-- Concurrent Work. -->
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<!-- <div class="columns is-centered">
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<div class="column is-full-width">
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<h2 class="title is-3">Related Links</h2>
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<div class="content has-text-justified">
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<p>
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There's a lot of excellent work that was introduced around the same time as ours.
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</p>
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<p>
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<a href="https://arxiv.org/abs/2104.09125">Progressive Encoding for Neural Optimization</a> introduces an idea similar to our windowed position encoding for coarse-to-fine optimization.
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</p>
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<p>
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<a href="https://www.albertpumarola.com/research/D-NeRF/index.html">D-NeRF</a> and <a href="https://gvv.mpi-inf.mpg.de/projects/nonrigid_nerf/">NR-NeRF</a>
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both use deformation fields to model non-rigid scenes.
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</p>
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<p>
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Some works model videos with a NeRF by directly modulating the density, such as <a href="https://video-nerf.github.io/">Video-NeRF</a>, <a href="https://www.cs.cornell.edu/~zl548/NSFF/">NSFF</a>, and <a href="https://neural-3d-video.github.io/">DyNeRF</a>
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</p>
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<p>
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There are probably many more by the time you are reading this. Check out <a href="https://dellaert.github.io/NeRF/">Frank Dellart's survey on recent NeRF papers</a>, and <a href="https://github.com/yenchenlin/awesome-NeRF">Yen-Chen Lin's curated list of NeRF papers</a>.
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