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<!DOCTYPE HTML>
<html lang="en">
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Jon Barron</title>
<meta name="author" content="Jon Barron">
<meta name="viewport" content="width=device-width, initial-scale=1">
<link rel="shortcut icon" href="images/favicon/favicon.ico" type="image/x-icon">
<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://deepmind.google/">Google DeepMind</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://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. Some 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="ever_stop()" onmouseover="ever_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='ever_image'>
<img src='images/ever_after.png' width=100%>
</div>
<img src='images/ever_before.png' width=100%>
</div>
<script type="text/javascript">
function ever_start() {
document.getElementById('ever_image').style.opacity = "1";
}
function ever_stop() {
document.getElementById('ever_image').style.opacity = "0";
}
ever_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://ever.github.io/">
<span class="papertitle">EVER: Exact Volumetric Ellipsoid Rendering for Real-time View Synthesis
</span>
</a>
<br>
<a href="https://half-potato.gitlab.io/">Alexander Mai</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="https://grgkopanas.github.io/">George Kopanas</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<a href="https://scholar.google.com/citations?user=ozNFrecAAAAJ&hl=en">David Futschik</a>,
<a href="https://xharlie.github.io/">Qiangeng Xu</a>,
<a href="https://jacobsschool.ucsd.edu/faculty/profile?id=253">Falko Kuester</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://www.zhangyinda.com/">Yinda Zhang</a>
<br>
<em>arXiv</em>, 2024
<br>
<a href="https://half-potato.gitlab.io/posts/ever/">project page</a>
/
<a href="https://arxiv.org/abs/2410.01804">arXiv</a>
<p></p>
<p>
Raytracing constant-density ellipsoids yields more accurate and flexible radiance fields than splatting Gaussians, and still runs in real-time.
</p>
</td>
</tr>
<tr onmouseout="cat3d_stop()" onmouseover="cat3d_start()" bgcolor="#ffffd0">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='cat3d_image'><video width=100% height=100% muted autoplay loop>
<source src="images/cat3d.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/cat3d.jpg' width="160">
</div>
<script type="text/javascript">
function cat3d_start() {
document.getElementById('cat3d_image').style.opacity = "1";
}
function cat3d_stop() {
document.getElementById('cat3d_image').style.opacity = "0";
}
cat3d_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://cat3d.github.io/">
<span class="papertitle">CAT3D: Create Anything in 3D with Multi-View Diffusion Models
</span>
</a>
<br>
<a href="https://ruiqigao.github.io/">Ruiqi Gao</a>*,
<a href="https://holynski.org/">Aleksander Holynski</a>*,
<a href="https://henzler.github.io/">Philipp Henzler</a>,
<a href="https://github.com/ArthurBrussee">Arthur Brussee</a>,
<a href="http://ricardomartinbrualla.com/">Ricardo Martin Brualla</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul P. Srinivasan</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://poolio.github.io/">Ben Poole</a>*
<br>
<em>NeurIPS</em>, 2024   <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://cat3d.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/2405.10314">arXiv</a>
<p></p>
<p>
A single model built around diffusion and NeRF that does text-to-3D, image-to-3D, and few-view reconstruction, trains in 1 minute, and renders at 60FPS in a browser.
</p>
</td>
</tr>
<tr onmouseout="nerfcasting_stop()" onmouseover="nerfcasting_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='nerfcasting_image'><video width=100% muted autoplay loop>
<source src="images/nerfcasting.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/nerfcasting.jpg' width=100%>
</div>
<script type="text/javascript">
function nerfcasting_start() {
document.getElementById('nerfcasting_image').style.opacity = "1";
}
function nerfcasting_stop() {
document.getElementById('nerfcasting_image').style.opacity = "0";
}
nerfcasting_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://nerf-casting.github.io/">
<span class="papertitle">NeRF-Casting: Improved View-Dependent Appearance with Consistent Reflections</span>
</a>
<br>
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="https://benattal.github.io/">Benjamin Attal</a>, <br>
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<a href="https://szeliski.org/RichardSzeliski.htm">Richard Szeliski</a>,
<strong>Jonathan T. Barron</strong>
<br>
<em>SIGGRAPH Asia</em>, 2024
<br>
<a href="https://nerf-casting.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/2405.14871">arXiv</a>
<p></p>
<p>
Carefully casting reflection rays lets us synthesize photorealistic specularities in real-world scenes.
</p>
</td>
</tr>
<tr onmouseout="flash_cache_stop()" onmouseover="flash_cache_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='flash_cache_image'><video width=100% muted autoplay loop>
<source src="images/flash_cache.mp4" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/flash_cache.jpg' width=100%>
</div>
<script type="text/javascript">
function flash_cache_start() {
document.getElementById('flash_cache_image').style.opacity = "1";
}
function flash_cache_stop() {
document.getElementById('flash_cache_image').style.opacity = "0";
}
flash_cache_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://benattal.github.io/flash-cache/">
<span class="papertitle">Flash Cache: Reducing Bias in Radiance Cache Based Inverse Rendering</span>
</a>
<br>
<a href="https://benattal.github.io/">Benjamin Attal</a>,
<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="https://www.cs.cmu.edu/~motoole2/">Matthew O'Toole</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul P. Srinivasan</a>
<br>
<em>ECCV</em>, 2024   <font color="red"><strong>(Oral Presentation)</strong></font>
<br>
<a href="https://benattal.github.io/flash-cache/">project page</a>
/
<a href="TODO">arXiv</a>
<p></p>
<p>
A more physically-accurate inverse rendering system based on radiance caching for recovering geometry, materials, and lighting from RGB images of an object or scene.
</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>ECCV</em>, 2024
<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="bog_stop()" onmouseover="bog_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='bog_image'><video width=100% muted autoplay loop>
<source src="images/bog.jpg" type="video/mp4">
Your browser does not support the video tag.
</video></div>
<img src='images/bog.jpg' width=100%>
</div>
<script type="text/javascript">
function bog_start() {
document.getElementById('bog_image').style.opacity = "1";
}
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document.getElementById('bog_image').style.opacity = "0";
}
bog_stop()
</script>
</td>
<td style="padding:20px;width:75%;vertical-align:middle">
<a href="https://creiser.github.io/binary_opacity_grid/">
<span class="papertitle">Binary Opacity Grids: Capturing Fine Geometric Detail for Mesh-Based View Synthesis
</span>
</a>
<br>
<a href="https://creiser.github.io/">Christian Reiser</a>,
<a href="http://stephangarbin.com/">Stephan J. Garbin</a>,
<a href="https://pratulsrinivasan.github.io/">Pratul Srinivasan</a>,
<a href="https://dorverbin.github.io/">Dor Verbin</a>,
<a href="https://szeliski.org/RichardSzeliski.htm">Richard Szeliski</a>,
<a href="https://bmild.github.io/">Ben Mildenhall</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://phogzone.com/">Peter Hedman</a>*,
<a href="https://www.cvlibs.net/">Andreas Geiger</a>*
<br>
<em>SIGGRAPH</em>, 2024
<br>
<a href="https://creiser.github.io/binary_opacity_grid/">project page</a>
/
<a href="https://www.youtube.com/watch?v=2TPUmGRg8bM">video</a>
/
<a href="https://arxiv.org/abs/2402.12377">arXiv</a>
<p></p>
<p>
Applying anti-aliasing to a discrete opacity grid lets you render a hard representation into a soft image, and this enables highly-detailed mesh recovery.
</p>
</td>
</tr>
<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">
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<img src='images/smerf.jpg' width=100%>
</div>
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</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>SIGGRAPH</em>, 2024   <font color="red"><strong>(Honorable Mention)</strong></font>
<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="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">
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<img src='images/eclipse_before.jpg' width="160">
</div>
<script type="text/javascript">
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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>, 2024   <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_start()" 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">
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<img src='images/recon.png' width="160">
</div>
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</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>, 2024
<br>
<a href="https://reconfusion.github.io/">project page</a>
/
<a href="https://arxiv.org/abs/2312.02981">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="shinobi_stop()" onmouseover="shinobi_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='shinobi_image'><video width=100% height=100% muted autoplay loop>
<source src="images/shinobi.mp4" type="video/mp4">
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<img src='images/shinobi.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://shinobi.aengelhardt.com/">
<span class="papertitle">SHINOBI: Shape and Illumination using Neural Object Decomposition via BRDF Optimization In-the-Wild</span>
</a>
<br>
<a href="https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/computergrafik/lehrstuhl/mitarbeiter/andreas-engelhardt/">Andreas Engelhardt</a>,
<a href="https://amitraj93.github.io/">Amit Raj</a>,
<a href="https://markboss.me/">Mark Boss</a>,
<a href="https://cs.stanford.edu/~yzzhang/">Yunzhi Zhang</a>,
<a href="https://abhishekkar.info/">Abhishek Kar</a>,
<a href="https://people.csail.mit.edu/yzli/">Yuanzhen Li</a>,
<a href="https://deqings.github.io/">Deqing Sun</a>,
<a href="http://ricardomartinbrualla.com/">Ricardo Martin Brualla</a>,
<strong>Jonathan T. Barron</strong>,
<a href="https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/computergrafik/lehrstuhl/mitarbeiter/prof-dr-ing-hendrik-lensch/">Hendrik P.A. Lensch</a>,
<a href="https://varunjampani.github.io/">Varun Jampani</a>
<br>
<em>CVPR</em>, 2024
<br>
<a href="https://shinobi.aengelhardt.com/">project page</a>
/
<a href="https://www.youtube.com/watch?v=m_5kvtlDnl4">video</a>
/
<a href="https://arxiv.org/abs/2401.10171">arXiv</a>
<p></p>
<p>
A class-agnostic inverse rendering solution for turning in-the-wild images of an object into a relightable 3D asset.
</p>
</td>
</tr>
<tr onmouseout="internerf_stop()" onmouseover="internerf_start()">
<td style="padding:20px;width:25%;vertical-align:middle">
<div class="one">
<div class="two" id='internerf_image'>
<img src='images/internerf_after.jpg' width=100%>
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<img src='images/internerf_before.jpg' width=100%>
</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/2406.11737">
<span class="papertitle">InterNeRF: Scaling Radiance Fields via Parameter Interpolation</span>
</a>
<br>
<a href="https://clintonjwang.github.io/">Clinton Wang</a>,
<a href="https://phogzone.com/">Peter Hedman</a>,
<a href="https://people.csail.mit.edu/polina/">Polina Golland</a>,
<strong>Jonathan T. Barron</strong>,
<a href="http://www.stronglyconvex.com/about.html">Daniel Duckworth</a>
<br>
<em>CVPR Neural Rendering Intelligence</em>, 2024
<br>
<a href="https://arxiv.org/abs/2406.11737">arXiv</a>
<p></p>
<p>
Parameter interpolation enables high-quality large-scale scene reconstruction and out-of-core training and rendering.
</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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<img src='images/difsurvey_image.jpg' width="160">
</div>
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</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">
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<img src='images/camp.png' width="160">
</div>
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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">
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</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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<img src='images/owl.png' width="160">
</div>
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</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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</div>
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</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>
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</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>
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<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.
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<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.
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