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# Nerfies

This is the repository that contains source code for the [Nerfies website](https://nerfies.github.io).

If you find Nerfies useful for your work please cite:
```
@article{park2021nerfies
author = {Park, Keunhong and Sinha, Utkarsh and Barron, Jonathan T. and Bouaziz, Sofien and Goldman, Dan B and Seitz, Steven M. and Martin-Brualla, Ricardo},
title = {Nerfies: Deformable Neural Radiance Fields},
journal = {ICCV},
year = {2021},
}
```

# Website License
<a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/88x31.png" /></a><br />This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">Creative Commons Attribution-ShareAlike 4.0 International License</a>.
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content="MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.">
<meta name="keywords" content="Query expansion, Large language models, Information retrieval">
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<h1 class="title is-1 publication-title">MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://jia-py.github.io">Pengyue Jia</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://liuyiding.net/">Yiding Liu</a><sup>2</sup>,</span>
<span class="author-block">
<a href="https://zhaoxyai.github.io/">Xiangyu Zhao</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://xiaopengli1.github.io/">Xiaopeng Li</a><sup>1</sup>,
</span>
<span class="author-block">
Changying Hao<sup>2</sup>,
</span>
<span class="author-block">
<a href="http://wangshuaiqiang.net/">Shuaiqiang Wang</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://www.yindawei.com/">Dawei Yin</a><sup>2</sup>
</span>
</div>

<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>City University of Hong Kong,</span>
<span class="author-block"><sup>2</sup>Baidu Inc.</span>
</div>

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<h2 class="subtitle has-text-centered">
<span class="dnerf">Nerfies</span> turns selfie videos from your phone into
free-viewpoint
portraits.
</h2>
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<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
We present the first method capable of photorealistically reconstructing a non-rigidly
deforming scene using photos/videos captured casually from mobile phones.
</p>
<p>
Our approach augments neural radiance fields
(NeRF) by optimizing an
additional continuous volumetric deformation field that warps each observed point into a
canonical 5D NeRF.
We observe that these NeRF-like deformation fields are prone to local minima, and
propose a coarse-to-fine optimization method for coordinate-based models that allows for
more robust optimization.
By adapting principles from geometry processing and physical simulation to NeRF-like
models, we propose an elastic regularization of the deformation field that further
improves robustness.
</p>
<p>
We show that <span class="dnerf">Nerfies</span> can turn casually captured selfie
photos/videos into deformable NeRF
models that allow for photorealistic renderings of the subject from arbitrary
viewpoints, which we dub <i>"nerfies"</i>. We evaluate our method by collecting data
using a
rig with two mobile phones that take time-synchronized photos, yielding train/validation
images of the same pose at different viewpoints. We show that our method faithfully
reconstructs non-rigidly deforming scenes and reproduces unseen views with high
fidelity.
</p>
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<section class="section" id="BibTeX">
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<h2 class="title">BibTeX</h2>
<pre><code>@misc{jia2023mill,
title={MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion},
author={Pengyue Jia and Yiding Liu and Xiangyu Zhao and Xiaopeng Li and Changying Hao and Shuaiqiang Wang and Dawei Yin},
year={2023},
eprint={2310.19056},
archivePrefix={arXiv},
primaryClass={cs.IR}
}</code></pre>
</div>
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This website is built based on <a href="https://github.com/nerfies/nerfies.github.io">Nerfies</a>
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