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<!DOCTYPE html>
<html>
<head lang="en">
<!-- <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> -->
<!-- <meta http-equiv="x-ua-compatible" content="ie=edge"> -->
<title>ClimateNeRF</title>
<meta name="description" content="">
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<script src="resources/glide.min.js"></script>
<script>
window.onload = function () {
new Glide("#dynamic-carousel", {
type: "carousel",
perView: 1.68,
focusAt: "center",
autoplay: 20000,
hoverpause: true
}).mount();
new Glide("#static-carousel", {
type: "carousel",
perView: 1.68,
focusAt: "center",
autoplay: 3000,
hoverpause: true
}).mount();
new Glide("#realtime-carousel", {
type: "carousel",
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}).mount();
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<body>
<div class="container" id="header" style="text-align: center; margin: auto;">
<div class="row" id="title-row" style="max-width: 100%; margin: 0 auto; display: inline-block">
<h2 class="col-md-12 text-center" id="title">
<b>ClimateNeRF</b>: Extreme Weather Synthesis<br>in Neural Radiance Field
</h2>
<h3 class="col-md-12 text-center" id="title">
<b>ICCV</b>2023<br>
</h3>
</div>
</div>
<script>
</script>
<div class="container" id="main">
<div class="row">
<div class="col-sm-10 col-sm-offset-1 text-center">
<ul class="list-inline">
<li> <a href="https://y-u-a-n-l-i.github.io/">Yuan Li<sup>1,2*</sup></a> </li>
<li> <a href="https://zhihao-lin.github.io/"> Zhi-Hao Lin<sup>1*</sup></a> </li>
<li> <a href="http://luthuli.cs.uiuc.edu/~daf/">David Forsyth<sup>1</sup></a> </li>
<li> <a href="https://jbhuang0604.github.io/">Jia-Bin Huang<sup>3</sup></a> </li>
<li> <a href="https://shenlong.web.illinois.edu/">Shenlong Wang<sup>1</sup></a> </li>
</ul>
<ul class="list-inline">
<li> <sup>1</sup>University of Illinois at Urbana-Champaign </li>
<li> <sup>2</sup>Zhejiang University </li>
<li> <sup>3</sup>University of Maryland, College Park </li>
<br />
<li> <sup>*</sup> Equal Contribution</li>
</ul>
</div>
</div>
<div class="row">
<div class="col-sm-8 col-sm-offset-2 text-center">
<span class="link-block">
<a href="https://arxiv.org/abs/2211.13226" class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<svg class="svg-inline--fa fa-file-pdf fa-w-12" aria-hidden="true" focusable="false" data-prefix="fas"
data-icon="file-pdf" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 384 512"
data-fa-i2svg="">
<path fill="currentColor"
d="M181.9 256.1c-5-16-4.9-46.9-2-46.9 8.4 0 7.6 36.9 2 46.9zm-1.7 47.2c-7.7 20.2-17.3 43.3-28.4 62.7 18.3-7 39-17.2 62.9-21.9-12.7-9.6-24.9-23.4-34.5-40.8zM86.1 428.1c0 .8 13.2-5.4 34.9-40.2-6.7 6.3-29.1 24.5-34.9 40.2zM248 160h136v328c0 13.3-10.7 24-24 24H24c-13.3 0-24-10.7-24-24V24C0 10.7 10.7 0 24 0h200v136c0 13.2 10.8 24 24 24zm-8 171.8c-20-12.2-33.3-29-42.7-53.8 4.5-18.5 11.6-46.6 6.2-64.2-4.7-29.4-42.4-26.5-47.8-6.8-5 18.3-.4 44.1 8.1 77-11.6 27.6-28.7 64.6-40.8 85.8-.1 0-.1.1-.2.1-27.1 13.9-73.6 44.5-54.5 68 5.6 6.9 16 10 21.5 10 17.9 0 35.7-18 61.1-61.8 25.8-8.5 54.1-19.1 79-23.2 21.7 11.8 47.1 19.5 64 19.5 29.2 0 31.2-32 19.7-43.4-13.9-13.6-54.3-9.7-73.6-7.2zM377 105L279 7c-4.5-4.5-10.6-7-17-7h-6v128h128v-6.1c0-6.3-2.5-12.4-7-16.9zm-74.1 255.3c4.1-2.7-2.5-11.9-42.8-9 37.1 15.8 42.8 9 42.8 9z">
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</span>
<span>Paper</span>
</a>
</span>
<span class="link-block">
<a href="https://github.com/y-u-a-n-l-i/Climate_NeRF"
class="external-link button is-normal is-rounded is-dark">
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data-icon="github" role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 496 512" data-fa-i2svg="">
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d="M165.9 397.4c0 2-2.3 3.6-5.2 3.6-3.3.3-5.6-1.3-5.6-3.6 0-2 2.3-3.6 5.2-3.6 3-.3 5.6 1.3 5.6 3.6zm-31.1-4.5c-.7 2 1.3 4.3 4.3 4.9 2.6 1 5.6 0 6.2-2s-1.3-4.3-4.3-5.2c-2.6-.7-5.5.3-6.2 2.3zm44.2-1.7c-2.9.7-4.9 2.6-4.6 4.9.3 2 2.9 3.3 5.9 2.6 2.9-.7 4.9-2.6 4.6-4.6-.3-1.9-3-3.2-5.9-2.9zM244.8 8C106.1 8 0 113.3 0 252c0 110.9 69.8 205.8 169.5 239.2 12.8 2.3 17.3-5.6 17.3-12.1 0-6.2-.3-40.4-.3-61.4 0 0-70 15-84.7-29.8 0 0-11.4-29.1-27.8-36.6 0 0-22.9-15.7 1.6-15.4 0 0 24.9 2 38.6 25.8 21.9 38.6 58.6 27.5 72.9 20.9 2.3-16 8.8-27.1 16-33.7-55.9-6.2-112.3-14.3-112.3-110.5 0-27.5 7.6-41.3 23.6-58.9-2.6-6.5-11.1-33.3 2.6-67.9 20.9-6.5 69 27 69 27 20-5.6 41.5-8.5 62.8-8.5s42.8 2.9 62.8 8.5c0 0 48.1-33.6 69-27 13.7 34.7 5.2 61.4 2.6 67.9 16 17.7 25.8 31.5 25.8 58.9 0 96.5-58.9 104.2-114.8 110.5 9.2 7.9 17 22.9 17 46.4 0 33.7-.3 75.4-.3 83.6 0 6.5 4.6 14.4 17.3 12.1C428.2 457.8 496 362.9 496 252 496 113.3 383.5 8 244.8 8zM97.2 352.9c-1.3 1-1 3.3.7 5.2 1.6 1.6 3.9 2.3 5.2 1 1.3-1 1-3.3-.7-5.2-1.6-1.6-3.9-2.3-5.2-1zm-10.8-8.1c-.7 1.3.3 2.9 2.3 3.9 1.6 1 3.6.7 4.3-.7.7-1.3-.3-2.9-2.3-3.9-2-.6-3.6-.3-4.3.7zm32.4 35.6c-1.6 1.3-1 4.3 1.3 6.2 2.3 2.3 5.2 2.6 6.5 1 1.3-1.3.7-4.3-1.3-6.2-2.2-2.3-5.2-2.6-6.5-1zm-11.4-14.7c-1.6 1-1.6 3.6 0 5.9 1.6 2.3 4.3 3.3 5.6 2.3 1.6-1.3 1.6-3.9 0-6.2-1.4-2.3-4-3.3-5.6-2z">
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</span>
<span>Code</span>
</a>
</span>
</div>
</div>
<!-- <div class="hero-body">
<div class="container">
<div id="results-carousel" class="carousel results-carousel">
<div class="item">
<video poster="" id="garden-smog" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/garden_smog.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="playground-flood" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/playground_flood.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="train-snow" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/train_snow.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="truck-flood" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/truck_flood.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="garden-snow" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/garden_snow.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="kitti-flood" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/kitti_flood.mp4" type="video/mp4">
</video>
</div>
<div class="item">
<video poster="" id="kitti-snow" autoplay controls muted loop playsinline height="100%">
<source src="./ClimateNeRF_files/slider/kitti_snow.mp4" type="video/mp4">
</video>
</div>
</div>
</div>
</div> -->
<div class="row">
<div class="col-sm-10 col-sm-offset-1 text-center">
<video id="garden-v1" width="100%" playsinline="" autoplay="" loop="" muted=""
poster="ClimateNeRF_files/loading.gif">
<source src="ClimateNeRF_files/garden/garden.mp4" type="video/mp4">
</video>
</div>
</div>
<div class="row">
<div class="col-sm-10 col-sm-offset-1 text-center">
<iframe width="946" height="532" src="https://www.youtube.com/embed/Rkt2EeHHbHI?si=xYlD9npwUaRIUyIO"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"
allowfullscreen>
</iframe>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Abstract
</h3>
<div class="text-justify">
Physical simulations produce excellent predictions of
weather effects. Neural radiance fields produce SOTA scene
models. We describe a novel NeRF-editing procedure that
can fuse physical simulations with NeRF models of scenes,
producing realistic movies of physical phenomena in those
scenes. Our application -- Climate NeRF -- allows people to
visualize what climate change outcomes will do to them.
<br />
ClimateNeRF allows us to render realistic weather effects,
including smog, snow, and flood. Results can be controlled
with physically meaningful variables like water level.
Qualitative and quantitative studies show that our simulated
results are significantly more realistic than those from SOTA
2D image editing and SOTA 3D NeRF stylization.
</div>
<center>
<img src="./ClimateNeRF_files/images/overview.png" class="img-responsive" alt="overview" width="80%"
style="max-height: 450px;margin:auto;">
</center>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Weather simulations
</h3>
<p>
<font size="3" color="gray">
* You can select different <b>weather</b> conditions on different <b>scenes</b> and compare
our <b>method</b> with baselines.
<br />
* <b>3D stylization</b> denotes finetuning pre-trained NGP model using <a
href="https://github.com/NVIDIA/FastPhotoStyle">FastPhotoStyle</a>.
</font>
</p>
<center>
<div class="video-compare-container" id="ours" style="width: 100%">
<video class="video" id="simulation_video" loop="" playsinline="" autoplay="" muted=""
poster="ClimateNeRF_files/loading.gif" src="ClimateNeRF_files/ours/flood/playground.mp4"
onplay="resizeAndPlay(this)">
</video>
<canvas class="videoMerge" id="simulation_videoMerge"></canvas>
</div>
<video class="video" id="baseline" loop="" playsinline="" autoplay="" muted=""
poster="ClimateNeRF_files/loading.gif" src="ClimateNeRF_files/ours/flood/family.mp4" style="width: 0%">
</video>
<h4>
Weather
</h4>
<ul class="nav nav-pills nav-justified" id="sim-view-ul" style="width: 60%">
<li role="presentation" class="active"><a href="javascript: void(0);" onclick="ChangeSim(0);">Flood</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeSim(1);">Snow</a></li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeSim(2);">Smog</a></li>
</ul>
<h4>
Scene
</h4>
<ul class="nav nav-pills nav-justified" id="scene-view-ul" style="width: 60%">
<li role="presentation" class="active"><a href="javascript: void(0);"
onclick="ChangeScene(0);">Playground</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(1);">Family</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(2);">Truck</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(3);">Train</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(4);">Horse</a>
</li>
<br />
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(5);">Garden</a>
</li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(6);">KITTI360_1</a></li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(7);">KITTI360_2</a></li>
<li role="presentation"><a href="javascript: void(0);" onclick="ChangeScene(8);">KITTI360_3</a></li>
</ul>
<h4>
Method
</h4>
<ul class="nav nav-pills nav-justified" id="method-view-ul" style="width: 60%">
<li role="presentation" class="active"><a href="javascript: void(0);" onclick="ChangeMethod(0);">Ours</a>
</li>
<li role="presentation" class=""><a href="javascript: void(0);"
onclick="ChangeMethod(1);">Climate-GAN<sup>1</sup></a></li>
<li role="presentation" class=""><a href="javascript: void(0);" onclick="ChangeMethod(2);">Stable
Diffusion<sup>2</sup></a></li>
<li role="presentation" class="disabled"><a href="javascript: void(0);" onclick="">Swapping
Autoencoder<sup>3</sup></a></li>
<li role="presentation" class="disabled"><a href="javascript: void(0);" onclick="">3D
stylization</a></li>
</ul>
</center>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Rising Sea-level Simulation
</h3>
</div>
</div>
<div class="glide" id="dynamic-carousel">
<div class="glide__track" data-glide-el="track">
<ul class="glide__slides">
<li class="glide__slide">
<video controls muted loop autoplay>
<source src="ClimateNeRF_files/rising/tower.mp4" type="video/mp4" />
</video>
</li>
<li class="glide__slide">
<video controls muted loop autoplay>
<source src="ClimateNeRF_files/rising/church.mp4" type="video/mp4" />
</video>
</li>
<li class="glide__slide">
<video controls muted loop autoplay>
<source src="ClimateNeRF_files/rising/statue.mp4" type="video/mp4" />
</video>
</li>
<li class="glide__slide">
<video controls muted loop autoplay>
<source src="ClimateNeRF_files/rising/venice.mp4" type="video/mp4" />
</video>
</li>
<li class="glide__slide">
<video controls muted loop autoplay>
<source src="ClimateNeRF_files/rising/sydney.mp4" type="video/mp4" />
</video>
</li>
</ul>
</div>
<div class="glide__arrows" data-glide-el="controls">
<span class="glide__arrow glide__arrow--left" data-glide-dir="<"><img
src="resources/arrow-left-circle-fill.svg" /></span>
<span class="glide__arrow glide__arrow--right" data-glide-dir=">"><img
src="resources/arrow-right-circle-fill.svg" /></span>
</div>
<div class="glide__bullets" data-glide-el="controls[nav]">
<span class="glide__bullet" data-glide-dir="=0"></span>
<span class="glide__bullet" data-glide-dir="=1"></span>
<span class="glide__bullet" data-glide-dir="=2"></span>
<span class="glide__bullet" data-glide-dir="=3"></span>
<span class="glide__bullet" data-glide-dir="=4"></span>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Controllable rendering
</h3>
<div class="text-justify">
Our method simulates different densities of smog and distinct heights of flood and accumulated
snow:
</div>
<table width="100%">
<tbody>
<tr>
<td align="center" valign="top" width="33%">
<video id="v1" width="100%" playsinline="" autoplay="" loop="" muted=""
poster="ClimateNeRF_files/loading.gif">
<source src="ClimateNeRF_files/control/control_smog.mp4" type="video/mp4">
</video>
</td>
<td align="center" valign="top" width="33%">
<video id="v2" width="100%" playsinline="" autoplay="" loop="" muted=""
poster="ClimateNeRF_files/loading.gif">
<source src="ClimateNeRF_files/control/control_flood.mp4" type="video/mp4">
</video>
</td>
<td align="center" valign="top" width="33%">
<video id="v3" width="100%" playsinline="" autoplay="" loop="" muted=""
poster="ClimateNeRF_files/loading.gif">
<source src="ClimateNeRF_files/control/control_snow.mp4" type="video/mp4">
</video>
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Rendering Procedure of ClimateNeRF
</h3>
<center>
<img src="./ClimateNeRF_files/images/simulation.png" class="img-responsive" width="80%"
style="max-height: 450px;margin:auto;">
</center>
<div class="text-justify">
We first determine the position of physical entities (smog particle, snow balls, water surface)
with physical simulation. We can then render the
scene with desired effects by modeling the light transport between the physical entities and the
scene. More specifically, we follow
the volume rendering process and fuse the estimated color and density from 1) the original
radiance field (by querying the trained
instant-NGP model) and 2) the physical entities (by physically based rendering). Our rendering
procedure thus maintain the realism while achieving complex, yet physically plausible visual
effects.
</div>
</div>
</div>
<!-- <div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Flood Simulation
</h3>
<table width="100%">
<tbody>
<tr>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/flood/rgb-original.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/flood/depth.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/flood/flat.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/flood/wave.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/flood/rgb-final.png" class="img-responsive">
</td>
</tr>
<tr>
<td align="center" width="20%">
<font size="1" color="gray">(a) Original NeRF</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(b) Depth map</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(c) Water surface</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(d) Normal map with wave</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(e) Final ClimateNeRF</font>
</td>
</tr>
</tbody>
</table>
<div class="text-justify">
We first estimate the vanishing point direction based on the original image (a) and depth (b).
With the vertical vanishing direction (yellow arrows painted (c)), we can insert a planar water
surface.
We use FFT based water surface simulation to produce a spatiotemporal surface normal map in (d).
Our ClimateNeRF renders the scene with the simulated flood through ray tracing NeRF (e).
</div>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Snow Simulation
</h3>
<table width="100%">
<tbody>
<tr>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/snow/metaball_vis1.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/snow/metaball_vis2.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/snow/metaball_vis3.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/snow/metaball_vis4.png" class="img-responsive">
</td>
<td align="center" width="20%">
<img src="./ClimateNeRF_files/images/snow/metaball_vis5.png" class="img-responsive">
</td>
</tr>
<tr>
<td align="center" width="20%">
<font size="1" color="gray">(a) Original NeRF</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(b) Surface normal</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(c) Metaball centers (red)</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(d) Snow with diffuse model</font>
</td>
<td align="center" width="20%">
<font size="1" color="gray">(e) Snow with scattering</font>
</td>
</tr>
</tbody>
</table>
<div class="text-justify">
We first locate metaballs on object surfaces facing upward based on surface normal values (b).
With metaballs (centers painted in red), we can estimate snow's density and color with a parzen
window density estimator.
(d) and (e) show the differences between fully diffuse model and scattering approximations,
shadowed parts in (d) are lit in (e).
</div>
</div>
</div> -->
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
User Study
</h3>
<div class="text-justify">
We perform a user study to validate our approach quantitatively. Users are asked to watch pairs
of
synthesized images or videos of the same scene and pick the
one with higher realism. 37 users participated in the study,
and in total, we collected 2664 pairs of comparisons.
</div>
<center>
<table width="60%">
<tbody>
<tr style="border-bottom:1px solid black">
<td align="center" width="15%"></td>
<td align="center" width="25%">
<font size="3" color="black">Images</font>
</td>
<td align="center" width="65%">
<font size="3" color="black">Videos</font>
</td>
</tr>
</tbody>
</table>
<table width="60%">
<tbody>
<tr style="border-bottom:1px solid black">
<td align="center" width="10%">
<font size="3" color="black">Smog</font>
</td>
<td align="center" width="38%">
<img src="./ClimateNeRF_files/images/user/smog-images.png" class="img-responsive">
</td>
<td align="center" width="51%">
<img src="./ClimateNeRF_files/images/user/smog-videos.png" class="img-responsive">
</td>
</tr>
<tr style="border-bottom:1px solid black">
<td align="center" width="10%">
<font size="3" color="black">Flood</font>
</td>
<td align="center" width="36%">
<img src="./ClimateNeRF_files/images/user/flood-images.png" class="img-responsive">
</td>
<td align="center" width="53%">
<img src="./ClimateNeRF_files/images/user/flood-videos.png" class="img-responsive">
</td>
</tr>
<tr>
<td align="center" width="10%">
<font size="3" color="black">Snow</font>
</td>
<td align="center" width="38%">
<img src="./ClimateNeRF_files/images/user/snow-images.png" class="img-responsive">
</td>
<td align="center" width="51%">
<img src="./ClimateNeRF_files/images/user/snow-videos.png" class="img-responsive">
</td>
</tr>
</tbody>
</table>
</center>
<div class="text-justify">
The length of bars indicates the percentage of users voting for higher realism than the
opponents. The green bar with the number shows our win rate against each baseline. The video
quality of our method significantly outperforms all baselines.
</div>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
References
</h3>
<ol>
<li>
Victor Schmidt, Alexandra Sasha Luccioni, M ́elisande Teng, Tianyu Zhang, Alexia Reynaud,
Sunand Raghupathi, Gautier Cosne,
Adrien Juraver, Vahe Vardanyan, Alex Hernandez-Garcia, Yoshua Bengio.
Climategan: Raising climate change awareness by generating images of floods. ICLR, 2022.
<a href="https://github.com/cc-ai/climategan">[code]</a>
</li>
<li>
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Bj ̈orn Ommer.
High-resolution image synthesis with latent diffusion models. In CVPR, 2022.
<a href="https://github.com/CompVis/stable-diffusion">[code]</a>
</li>
<li>
Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei Efros, and Richard
Zhang.
Swapping autoencoder for deep image manipulation. NeurIPS, 2020.
<a href="https://github.com/taesungp/swapping-autoencoder-pytorch">[code]</a>
</li>
</ol>
</div>
</div>
<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Citation
</h3>
If you find our project useful, please consider citing:
<br />
<div class="CodeMirror cm-s-default CodeMirror-wrap">
<div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 38.28px; left: 647px;">
<textarea autocorrect="off" autocapitalize="off" spellcheck="false"
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tabindex="0"></textarea>
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<pre
class=" CodeMirror-line "><span style="padding-right: 0.1px;">@inproceedings{Li2023ClimateNeRF,</span></pre>
<pre
class=" CodeMirror-line "><span style="padding-right: 0.1px;"> title={ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field},</span></pre>
<pre
class=" CodeMirror-line "><span style="padding-right: 0.1px;"> author={Li, Yuan and Lin, Zhi-Hao and Forsyth, David and Huang, Jia-Bin and Wang, Shenlong},</span></pre>
<pre
class=" CodeMirror-line "><span style="padding-right: 0.1px;"> booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},</span></pre>
<pre
class=" CodeMirror-line "><span style="padding-right: 0.1px;"> year={2023}</span></pre>
<pre class=" CodeMirror-line "><span style="padding-right: 0.1px;">}</span></pre>
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<div class="row">
<div class="col-md-10 col-md-offset-1">
<h3>
Acknowledgements
</h3>
The website template was borrowed from <a href="http://mgharbi.com/">Michaël Gharbi</a>, <A
href="https://dorverbin.github.io/refnerf/index.html">RefNeRF</a> , <A
href="https://nerfies.github.io/">Nerfies</A> and <A
href="https://hhsinping.github.io/svs/supp/visual_comparison.html">Semantic View Synthesis</a>.
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