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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Litao Liu Bio</title>
<meta name="author" content="Litao Liu">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="shortcut icon" href="images/favicon/favicon.ico" type="image/x-ico">
<link rel="stylesheet" type="text/css" href="stylesheet.css">
</head>
<body>
<table style="width:100%;max-width:800px;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:0px">
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr style="padding:0px">
<td style="padding:2.5%;width:63%;vertical-align:middle">
<p class="name" style="text-align: center;">
Jon Barron
</p>
<p>I'm a research scientist at <a href="https://ai.google/research">Google Research</a> in San Francisco, where I lead a small team that mostly works on <a href="https://www.matthewtancik.com/nerf">NeRF</a>.
</p>
<p>
At Google I've worked on <a href="https://www.google.com/glass/start/">Glass</a>, <a href="https://ai.googleblog.com/2014/04/lens-blur-in-new-google-camera-app.html">Lens Blur</a>, <a href="https://ai.googleblog.com/2014/10/hdr-low-light-and-high-dynamic-range.html">HDR+</a>, <a href="https://blog.google/products/google-ar-vr/introducing-next-generation-jump/">VR</a>, <a href="https://ai.googleblog.com/2017/10/portrait-mode-on-pixel-2-and-pixel-2-xl.html">Portrait Mode</a>, <a href="https://ai.googleblog.com/2020/12/portrait-light-enhancing-portrait.html">Portrait Light</a>, and <a href="https://blog.google/products/maps/three-maps-updates-io-2022/">Maps</a>. I did my PhD at <a href="http://www.eecs.berkeley.edu/">UC Berkeley</a>, where I was advised by <a href="http://www.cs.berkeley.edu/~malik/">Jitendra Malik</a>. I've received the <a href="https://www.thecvf.com/?page_id=413#YRA">PAMI Young Researcher Award</a>.
</p>
<p style="text-align:center">
<a href="mailto:[email protected]">Email</a> /
<a href="data/JonBarron-CV.pdf">CV</a> /
<a href="data/JonBarron-bio.txt">Bio</a> /
<a href="https://scholar.google.com/citations?hl=en&user=jktWnL8AAAAJ">Scholar</a> /
<a href="https://www.threads.net/@jonbarron">Threads</a> /
<a href="https://bsky.app/profile/jonbarron.bsky.social">Bluesky</a> /
<a href="https://twitter.com/jon_barron">Twitter</a> /
<a href="https://github.com/jonbarron/">Github</a>
</p>
</td>
<td style="padding:2.5%;width:40%;max-width:40%">
<a href="images/JonBarron.jpg"><img style="width:100%;max-width:100%;object-fit: cover; border-radius: 50%;" alt="profile photo" src="images/JonBarron.jpg" class="hoverZoomLink"></a>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr>
<td style="padding:20px;width:100%;vertical-align:middle">
<h2>Research</h2>
<p>
I'm interested in computer vision, deep learning, generative AI, and image processing. Most of my research is about inferring the physical world (shape, motion, color, light, etc) from images, usually with radiance fields. Representative papers are <span class="highlight">highlighted</span>.
</p>
</td>
</tr>
</tbody></table>
<table style="width:100%;border:0px;border-spacing:0px;border-collapse:separate;margin-right:auto;margin-left:auto;"><tbody>
<tr onmouseout="smerf_stop()" onmouseover="smerf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='smerf_image'><video width=100% muted autoplay loop>
<source src="images/smerf.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/smerf.jpg' width=100%>
</div>
<script type="text/javascript">
function smerf_start() {
document.getElementById('smerf_image').style.opacity = "1";
}
function smerf_stop() {
document.getElementById('smerf_image').style.opacity = "0";
}
smerf_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://smerf-3d.github.io/">
<span class="papertitle">SMERF: Streamable Memory Efficient Radiance Fields for Real-Time Large-Scene Exploration</span>
</a>
<br>
<a href="http://www.stronglyconvex.com/about.html">Daniel Duckworth*</a>,
<a href="https://phogzone.com/">Peter Hedman*</a>,
<a href="https://creiser.github.io/">Christian Reiser</a>,
<a href="">Peter Zhizhin</a>,
<a href="">Jean-François Thibert</a>,
<a href="https://lucic.ai/">Mario Lučić</a>,
<a href="https://szeliski.org/">Richard Szeliski</a>,
<strong>Jonathan T. Barron</strong>
<br>
<em>arXiv</em>, 2023
<br>
<a href="https://smerf-3d.github.io/">project page</a>
/
<a href="https://www.youtube.com/watch?v=zhO8iUBpnCc">video</a>
/
<a href="https://arxiv.org/abs/2312.07541">arXiv</a>
<p></p>
<p>
Distilling a Zip-NeRF into a tiled set of MERFs lets you fly through radiance fields on laptops and smartphones at 60 FPS.
</p>
</td>
</tr>
<tr onmouseout="nuvo_stop()" onmouseover="nuvo_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='nuvo_image'><video width=100% muted autoplay loop>
<source src="images/nuvo.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/nuvo.jpg' width=100%>
</div>
<script type="text/javascript">
function nuvo_start() {
document.getElementById('nuvo_image').style.opacity = "1";
}
function nuvo_stop() {
document.getElementById('nuvo_image').style.opacity = "0";
}
nuvo_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://pratulsrinivasan.github.io/nuvo/">
<span class="papertitle">Nuvo: Neural UV Mapping for Unruly 3D Representations</span>
</a>
<br>
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="http://stephangarbin.com/">Stephan J. Garbin</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>
<br>
<em>arXiv</em>, 2023
<br>
<a href="https://pratulsrinivasan.github.io/nuvo/">project page</a>
/
<a href="https://www.youtube.com/watch?v=hmJiOSTDQZI">video</a>
/
<a href="http://arxiv.org/abs/2312.05283">arXiv</a>
<p></p>
<p>
Neural fields let you recover editable UV mappings for the challenging geometries produced by NeRF-like models.
</p>
</td>
</tr>
<tr onmouseout="eclipse_stop()" onmouseover="eclipse_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='eclipse_image'><video width=100% height=100% muted autoplay loop>
<source src="images/eclipse_after.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/eclipse_before.jpg' width="160">
</div>
<script type="text/javascript">
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document.getElementById('eclipse_image').style.opacity = "1";
}
function eclipse_stop() {
document.getElementById('eclipse_image').style.opacity = "0";
}
eclipse_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://dorverbin.github.io/eclipse">
<span class="papertitle">Eclipse: Disambiguating Illumination and Materials using Unintended Shadows</span>
</a>
<br>
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://phogzone.com/">Peter Hedman</a>, <br>
<strong>Jonathan T. Barron</strong>,
<a href="Todd Zickler">Todd Zickler</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>
<br>
<em>CVPR</em>, 2023   <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://dorverbin.github.io/eclipse">project page</a>
/
<a href="https://www.youtube.com/watch?v=amQLGyza3EU">video</a>
/
<a href="https://arxiv.org/abs/2305.16321">arXiv</a>
<p></p>
<p>
Shadows cast by unobserved occluders provide a high-frequency cue for recovering illumination and materials.
</p>
</td>
</tr>
<tr onmouseout="recon_stop()" onmouseover="recon_stopt()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='recon_image'><video width=100% height=100% muted autoplay loop>
<source src="images/recon.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/recon.png' width="160">
</div>
<script type="text/javascript">
function recon_start() {
document.getElementById('recon_image').style.opacity = "1";
}
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document.getElementById('recon_image').style.opacity = "0";
}
recon_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://reconfusion.github.io/">
<span class="papertitle">ReconFusion: 3D Reconstruction with Diffusion Priors</span>
</a>
<br>
<a href="https://www.cs.columbia.edu/~rundi/">Rundi Wu*</a>,
<a href="https://bmild.github.io/">Ben Mildenhall*</a>,
<a href="https://henzler.github.io/">Philipp Henzler</a>,
<a href="https://keunhong.com/">Keunhong Park</a>,
<a href="https://ruiqigao.github.io/">Ruiqi Gao</a>,
<a href="https://scholar.google.com/citations?user=_pKKv2QAAAAJ&hl=en/">Daniel Watson</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul P. Srinivasan</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://poolio.github.io/">Ben Poole</a>,
<a href="https://holynski.org/">Aleksander Holynski*</a>
<br>
<em>CVPR</em>, 2023
<br>
<a href="https://reconfusion.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/">arXiv</a>
<p></p>
<p>
Using a multi-image diffusion model as a regularizer lets you recover high-quality radiance fields from just a handful of images.
</p>
</td>
</tr>
<tr onmouseout="difsurvey_stop()" onmouseover="difsurvey_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='difsurvey_image'><video width=100% height=100% muted autoplay loop>
<source src="images/difsurvey_video.mp4" type="video/mp4">
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</video></div>
<img src='images/difsurvey_image.jpg' width="160">
</div>
<script type="text/javascript">
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difsurvey_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/abs/2310.07204">
<span class="papertitle">State of the Art on Diffusion Models for Visual Computing
</span>
</a>
<br>
<a href="https://ryanpo.com/">Ryan Po</a>,
<a href="https://yifita.netlify.app/">Wang Yifan</a>,
<a href="https://people.mpi-inf.mpg.de/~golyanik/">Vladislav Golyanik</a>,
<a href="https://kfiraberman.github.io/">Kfir Aberman</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://www.cs.tau.ac.il/~amberman/">Amit H. Bermano</a>,
<a href="https://ericryanchan.github.io/">Eric Ryan Chan</a>,
<a href="https://www.weizmann.ac.il/math/dekel/home">Tali Dekel</a>,
<a href="https://holynski.org/">Aleksander Holynski</a>,
<a href="https://people.eecs.berkeley.edu/~kanazawa/">Angjoo Kanazawa</a>,
<a href="https://tml.stanford.edu/">C. Karen Liu</a>,
<a href="https://lingjie0206.github.io/">Lingjie Liu</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://www.niessnerlab.org/">Matthias Nießner</a>,
<a href="https://ommer-lab.com/people/ommer/">Björn Ommer</a>,
<a href="https://people.mpi-inf.mpg.de/~theobalt/">Christian Theobalt</a>,
<a href="https://peterwonka.net/">Peter Wonka</a>,
<a href="https://stanford.edu/~gordonwz/">Gordon Wetzstein</a>
<br>
<em>Eurographics State-of-the-Art Report<em>, 2024
<br>
<p></p>
<p>
A survey of recent progress in diffusion models for images, videos, and 3D.
</p>
</td>
</tr>
<tr onmouseout="camp_stop()" onmouseover="camp_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='camp_image'><video width=100% height=100% muted autoplay loop>
<source src="images/camp.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/camp.png' width="160">
</div>
<script type="text/javascript">
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</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://camp-nerf.github.io/">
<span class="papertitle">CamP: Camera Preconditioning for Neural Radiance Fields</span>
</a>
<br>
<a href="https://keunhong.com/">Keunhong Park</a>,
<a href="https://henzler.github.io/">Philipp Henzler</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<strong>Jonathan T. Barron</strong>,
<a href="http://www.ricardomartinbrualla.com/">Ricardo Martin-Brualla</a>
<br>
<em>SIGGRAPH Asia</em>, 2023
<br>
<a href="https://camp-nerf.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/2308.10902">arXiv</a>
<p></p>
<p>
Preconditioning based on camera parameterization helps NeRF and camera extrinsics/intrinsics optimize better together.
</p>
</td>
</tr>
<tr onmouseout="zipnerf_stop()" onmouseover="zipnerf_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='zipnerf_image'><video width=100% height=100% muted autoplay loop>
<source src="images/zipnerf.mp4" type="video/mp4">
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<img src='images/zipnerf.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="http://jonbarron.info/zipnerf">
<span class="papertitle">Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields</span>
</a>
<br>
<strong>Jonathan T. Barron</strong>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://scholar.harvard.edu/dorverbin/home">Dor Verbin</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="https://phogzone.com/">Peter Hedman</a>
<br>
<em>ICCV</em>, 2023   <font color="red"><strong>(Oral Presentation, Best Paper Finalist)</strong></font>
<br>
<a href="http://jonbarron.info/zipnerf">project page</a>
/
<a href="https://www.youtube.com/watch?v=xrrhynRzC8k">video</a>
/
<a href="https://arxiv.org/abs/2304.06706">arXiv</a>
<p></p>
<p>
Combining mip-NeRF 360 and grid-based models like Instant NGP lets us reduce error rates by 8%–77% and accelerate training by 24x.
</p>
</td>
</tr>
<tr onmouseout="db3d_stop()" onmouseover="db3d_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='db3d_image'><video width=100% height=100% muted autoplay loop>
<source src="images/owl.mp4" type="video/mp4">
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</video></div>
<img src='images/owl.png' width="160">
</div>
<script type="text/javascript">
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db3d_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://dreambooth3d.github.io/">
<span class="papertitle">DreamBooth3D: Subject-Driven Text-to-3D Generation</span>
</a>
<br>
<a href="https://amitraj93.github.io/">Amit Raj</a>, <a href="https://www.linkedin.com/in/srinivas-kaza-64223b74">Srinivas Kaza</a>, <a href="https://poolio.github.io/">Ben Poole</a>, <a href="https://m-niemeyer.github.io/">Michael Niemeyer</a>, <a href="https://natanielruiz.github.io/">Nataniel Ruiz</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>, <a href="https://scholar.google.com/citations?user=I2qheksAAAAJ">Shiran Zada</a>, <a href="https://kfiraberman.github.io/">Kfir Aberman</a>, <a href="http://people.csail.mit.edu/mrub/">Michael Rubinstein</a>,
<strong>Jonathan T. Barron</strong>, <a href="http://people.csail.mit.edu/yzli/">Yuanzhen Li</a>, <a href="https://varunjampani.github.io/">Varun Jampani</a>
<br>
<em>ICCV</em>, 2023
<br>
<a href="https://dreambooth3d.github.io/">project page</a> /
<a href="https://arxiv.org/abs/2303.13508">arXiv</a>
<p></p>
<p>Combining DreamBooth (personalized text-to-image) and DreamFusion (text-to-3D) yields high-quality, subject-specific 3D assets with text-driven modifications</p>
</td>
</tr>
<tr onmouseout="bakedsdf_stop()" onmouseover="bakedsdf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='bakedsdf_image'><video width=100% height=100% muted autoplay loop>
<source src="images/bakedsdf_after.mp4" type="video/mp4">
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</video></div>
<img src='images/bakedsdf_before.jpg' width="160">
</div>
<script type="text/javascript">
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bakedsdf_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://bakedsdf.github.io/">
<span class="papertitle">BakedSDF: Meshing Neural SDFs for Real-Time View Synthesis</span>
</a>
<br>
<a href="https://lioryariv.github.io/">Lior Yariv*</a>,
<a href="https://phogzone.com/">Peter Hedman*</a>,
<a href="https://creiser.github.io/">Christian Reiser</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>, <br>
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="https://szeliski.org/RichardSzeliski.htm">Richard Szeliski</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>
<br>
<em>SIGGRAPH</em>, 2023
<br>
<a href="https://bakedsdf.github.io/">project page</a>
/
<a href="https://www.youtube.com/watch?v=fThKXZ6uDTk">video</a>
/
<a href="https://arxiv.org/abs/2302.14859">arXiv</a>
<p></p>
<p>
We use SDFs to bake a NeRF-like model into a high quality mesh and do real-time view synthesis.
</p>
</td>
</tr>
<tr onmouseout="merf_stop()" onmouseover="merf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='merf_image'><video width=100% height=100% muted autoplay loop>
<source src="images/merf_after.mp4" type="video/mp4">
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</video></div>
<img src='images/merf_before.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://merf42.github.io/">
<span class="papertitle">MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes</span>
</a>
<br>
<a href="https://creiser.github.io/">Christian Reiser</a>,
<a href="https://szeliski.org/RichardSzeliski.htm">Richard Szeliski</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>, <br>
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://www.cvlibs.net/">Andreas Geiger</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://phogzone.com/">Peter Hedman</a>
<br>
<em>SIGGRAPH</em>, 2023
<br>
<a href="https://merf42.github.io/">project page</a>
/
<a href="https://www.youtube.com/watch?v=3EACM2JAcxc">video</a>
/
<a href="https://arxiv.org/abs/2302.12249">arXiv</a>
<p></p>
<p>
We use volumetric rendering with a sparse 3D feature grid and 2D feature planes to do real-time view synthesis.
</p>
</td>
</tr>
<tr onmouseout="alignerf_stop()" onmouseover="alignerf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='alignerf_image'>
<img src='images/alignerf_after.jpg' width="160"></div>
<img src='images/alignerf_before.jpg' width="160">
</div>
<script type="text/javascript">
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</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://yifanjiang19.github.io/alignerf">
<span class="papertitle">AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training</span>
</a>
<br>
<a href="https://yifanjiang.net/">Yifan Jiang</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://ir1d.github.io/">Dejia Xu</a>, <br>
<strong>Jonathan T. Barron</strong>,
<a href="https://spark.adobe.com/page/CAdrFMJ9QeI2y/">Zhangyang Wang</a>,
<a href="https://tianfan.info/">Tianfan Xue</a>
<br>
<em>CVPR</em>, 2023
<br>
<a href="https://yifanjiang19.github.io/alignerf">project page</a>
/
<a href="https://arxiv.org/abs/2211.09682">arXiv</a>
<p></p>
<p>
Accounting for misalignment due to scene motion or calibration errors improves NeRF reconstruction quality.
</p>
</td>
</tr>
<tr onmouseout="dreamfusion_stop()" onmouseover="dreamfusion_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='dreamfusion_image'><video width=100% height=100% muted autoplay loop>
<source src="images/dreamfusion.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/dreamfusion.jpg' width="160">
</div>
<script type="text/javascript">
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</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://dreamfusion3d.github.io/">
<span class="papertitle">DreamFusion: Text-to-3D using 2D Diffusion</span>
</a>
<br>
<a href="https://cs.stanford.edu/~poole/">Ben Poole</a>,
<a href="https://www.ajayj.com/">Ajay Jain</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>
<br>
<em>ICLR</em>, 2023   <font color="red"><strong>(Oral Presentation, Outstanding Paper Award)</strong></font>
<br>
<a href="https://dreamfusion3d.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/2209.14988">arXiv</a>
/
<a href="https://dreamfusion3d.github.io/gallery.html">gallery</a>
<p></p>
<p>
We optimize a NeRF from scratch using a pretrained text-to-image diffusion model to do text-to-3D generative modeling.
</p>
</td>
</tr>
<tr onmouseout="guandao_stop()" onmouseover="guandao_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='guandao_image'>
<img src='images/guandao_after.png' width="160"></div>
<img src='images/guandao_before.png' width="160">
</div>
<script type="text/javascript">
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</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://arxiv.org/abs/2304.14473">
<span class="papertitle">Learning a Diffusion Prior for NeRFs</span>
</a>
<br>
<a href="https://www.guandaoyang.com/">Guandao Yang</a>,
<a href="https://abhijitkundu.info/">Abhijit Kundu</a>,
<a href="https://geometry.stanford.edu/member/guibas/index.html">Leonidas J. Guibas</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://cs.stanford.edu/~poole/">Ben Poole</a>
<br>
<em>ICLR Workshop</em>, 2023
<p></p>
<p>
Training a diffusion model on grid-based NeRFs lets you (conditionally) sample NeRFs.
</p>
</td>
</tr>
<tr onmouseout="mira_stop()" onmouseover="mira_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='mira_image'>
<img src='images/mira_after.jpg' width="160"></div>
<img src='images/mira_before.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://openreview.net/forum?id=AmPeAFzU3a4">
<span class="papertitle">MIRA: Mental Imagery for Robotic Affordances</span>
</a>
<br>
<a href="https://yenchenlin.me/">Lin Yen-Chen</a>,
<a href="http://www.peteflorence.com/">Pete Florence</a>,
<a href="https://andyzeng.github.io/">Andy Zeng</a>, <strong>Jonathan T. Barron</strong>,
<a href="https://yilundu.github.io/">Yilun Du</a>,
<a href="https://people.csail.mit.edu/weichium/">Wei-Chiu Ma</a>,
<a href="https://anthonysimeonov.github.io/">Anthony Simeonov</a>,
<a href="https://meche.mit.edu/people/faculty/[email protected]">Alberto Rodriguez</a>,
<a href="http://web.mit.edu/phillipi/">Phillip Isola</a>
<br>
<em>CoRL</em>, 2022
<p></p>
<p>
NeRF lets us synthesize novel orthographic views that work well with pixel-wise algorithms for robotic manipulation.
</p>
</td>
</tr>
<tr onmouseout="samurai_stop()" onmouseover="samurai_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='samurai_image'>
<img src='images/samurai_after.jpg' width="160"></div>
<img src='images/samurai_before.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://markboss.me/publication/2022-samurai/">
<span class="papertitle">SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image Collections</span>
</a>
<br>
<a href="https://markboss.me">Mark Boss</a>,
<a href="">Andreas Engelhardt</a>,
<a href="https://abhishekkar.info/">Abhishek Kar</a>,
<a href="http://people.csail.mit.edu/yzli/">Yuanzhen Li</a>,
<a href="https://deqings.github.io/">Deqing Sun</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://uni-tuebingen.de/en/faculties/faculty-of-science/departments/computer-science/lehrstuehle/computergrafik/computer-graphics/staff/prof-dr-ing-hendrik-lensch/">Hendrik P. A. Lensch</a>,
<a href="https://varunjampani.github.io">Varun Jampani</a>
<br>
<em>NeurIPS</em>, 2022
<br>
<a href="https://markboss.me/publication/2022-samurai/">project page</a> /
<a href="https://www.youtube.com/watch?v=LlYuGDjXp-8">video</a> /
<a href="https://arxiv.org/abs/2205.15768">arXiv</a>
<p></p>
<p>
A joint optimization framework for estimating shape, BRDF, camera pose, and illumination from in-the-wild image collections.
</p>
</td>
</tr>
<tr onmouseout="pnf_stop()" onmouseover="pnf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='pnf_image'>
<img src='images/pnf_before.jpg' width="160"></div>
<img src='images/pnf_after.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="TODO">
<span class="papertitle">Polynomial Neural Fields for Subband Decomposition</span>
</a> <br>
<a href="https://www.guandaoyang.com/">Guandao Yang*</a>,
<a href="https://sagiebenaim.github.io/">Sagie Benaim*</a>,
<a href="https://varunjampani.github.io/">Varun Jampani</a>,
<a href="https://www.kylegenova.com/">Kyle Genova</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://www.cs.princeton.edu/~funk/">Thomas Funkhouser</a>,
<a href="http://home.bharathh.info/">Bharath Hariharan</a>,
<a href="https://sergebelongie.github.io/">Serge Belongie</a>
<br>
<em>NeurIPS</em>, 2022
<p>
Representing neural fields as a composition of manipulable and interpretable components lets you do things like reason about frequencies and scale.
</p>
</td>
</tr>
<tr onmouseout="malle_stop()" onmouseover="malle_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='malle_image'>
<img src='images/MalleConv_after.jpg' width="160"></div>
<img src='images/MalleConv_before.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://yifanjiang.net/MalleConv.html">
<span class="papertitle">Fast and High-Quality Image Denoising via Malleable Convolutions</span>
</a>
<br>
<a href="https://yifanjiang.net/">Yifan Jiang</a>,
<a href="https://bartwronski.com/">Bartlomiej Wronski</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>, <br>
<strong>Jonathan T. Barron</strong>,
<a href="https://spark.adobe.com/page/CAdrFMJ9QeI2y/">Zhangyang Wang</a>,
<a href="https://tianfan.info/">Tianfan Xue</a>
<br>
<em>ECCV</em>, 2022
<br>
<a href="https://yifanjiang.net/MalleConv.html">project page</a>
/
<a href="https://arxiv.org/abs/2201.00392">arXiv</a>
<p></p>
<p>
We denoise images efficiently by predicting spatially-varying kernels at low resolution and using a fast fused op to jointly upsample and apply these kernels at full resolution.
</p>
</td>
</tr>
<tr onmouseout="nerfsuper_stop()" onmouseover="nerfsuper_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='nerfsuper_image'><video width=100% height=100% muted autoplay loop>
<source src="images/nerf_supervision.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/nerf_supervision.jpg' width="160">
</div>
<script type="text/javascript">
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</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="http://yenchenlin.me/nerf-supervision/">
<span class="papertitle">NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields</span>
</a>
<br>
<a href="https://yenchenlin.me/">Lin Yen-Chen</a>,
<a href="http://www.peteflorence.com/">Pete Florence</a>,
<strong>Jonathan T. Barron</strong>, <br>
<a href="https://scholar.google.com/citations?user=_BPdgV0AAAAJ&hl=en">Tsung-Yi Lin</a>,
<a href="https://meche.mit.edu/people/faculty/[email protected]">Alberto Rodriguez</a>,
<a href="http://web.mit.edu/phillipi/">Phillip Isola</a>
<br>
<em>ICRA</em>, 2022
<br>
<a href="http://yenchenlin.me/nerf-supervision/">project page</a> /
<a href="https://arxiv.org/abs/2203.01913">arXiv</a> /
<a href="https://www.youtube.com/watch?v=_zN-wVwPH1s">video</a> /
<a href="https://github.com/yenchenlin/nerf-supervision-public">code</a> /
<a href="https://colab.research.google.com/drive/13ISri5KD2XeEtsFs25hmZtKhxoDywB5y?usp=sharing">colab</a>
<p></p>
<p>NeRF works better than RGB-D cameras or multi-view stereo when learning object descriptors.</p>
</td>
</tr>
<tr onmouseout="refnerf_stop()" onmouseover="refnerf_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='refnerf_image'><video width=100% height=100% muted autoplay loop>
<source src="images/refnerf.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/refnerf.jpg' width="160">
</div>
<script type="text/javascript">
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</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://dorverbin.github.io/refnerf/index.html">
<span class="papertitle">Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields</span>
</a>
<br>
<a href="https://scholar.harvard.edu/dorverbin/home">Dor Verbin</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>, <br>
<a href="Todd Zickler">Todd Zickler</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>
<br>
<em>CVPR</em>, 2022   <font color="red"><strong>(Oral Presentation, Best Student Paper Honorable Mention)</strong></font>
<br>
<a href="https://dorverbin.github.io/refnerf/index.html">project page</a>
/
<a href="https://arxiv.org/abs/2112.03907">arXiv</a>
/
<a href="https://youtu.be/qrdRH9irAlk">video</a>
<p></p>
<p>Explicitly modeling reflections in NeRF produces realistic shiny surfaces and accurate surface normals, and lets you edit materials.</p>
</td>
</tr>
<tr onmouseout="mip360_stop()" onmouseover="mip360_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='mip360_image'><video width=100% height=100% muted autoplay loop>
<source src="images/mip360_sat.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/mip360_sat.jpg' width="160">
</div>
<script type="text/javascript">
function mip360_start() {
document.getElementById('mip360_image').style.opacity = "1";
}
function mip360_stop() {
document.getElementById('mip360_image').style.opacity = "0";
}
mip360_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="http://jonbarron.info/mipnerf360">
<span class="papertitle">Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields</span>
</a>
<br>
<strong>Jonathan T. Barron</strong>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://scholar.harvard.edu/dorverbin/home">Dor Verbin</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="https://phogzone.com/">Peter Hedman</a>
<br>
<em>CVPR</em>, 2022   <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="http://jonbarron.info/mipnerf360">project page</a>
/
<a href="https://arxiv.org/abs/2111.12077">arXiv</a>
/
<a href="https://youtu.be/zBSH-k9GbV4">video</a>
<p></p>
<p>mip-NeRF can be extended to produce realistic results on unbounded scenes.</p>
</td>
</tr>
<tr onmouseout="rawnerf_stop()" onmouseover="rawnerf_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='rawnerf_image'><video width=100% height=100% muted autoplay loop>
<source src="images/rawnerf.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/rawnerf.jpg' width="160">
</div>
<script type="text/javascript">
function rawnerf_start() {
document.getElementById('rawnerf_image').style.opacity = "1";
}
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document.getElementById('rawnerf_image').style.opacity = "0";
}
rawnerf_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://bmild.github.io/rawnerf/index.html">
<span class="papertitle">NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images</span>
</a>
<br>
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="http://www.ricardomartinbrualla.com/">Ricardo Martin-Brualla</a>, <br>
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<strong>Jonathan T. Barron</strong>
<br>
<em>CVPR</em>, 2022   <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://bmild.github.io/rawnerf/index.html">project page</a>
/
<a href="https://arxiv.org/abs/2111.13679">arXiv</a>
/
<a href="https://www.youtube.com/watch?v=JtBS4KBcKVc">video</a>
<p></p>
<p>
Properly training NeRF on raw camera data enables HDR view synthesis and bokeh, and outperforms multi-image denoising.</p>
</td>
</tr>
<tr onmouseout="regnerf_stop()" onmouseover="regnerf_start()">