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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description"
content="replay dataset">
<meta name="keywords" content="novel-view synthesis, multi-view learning">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Replay: Multi-modal Multi-view Acted Videos for Casual Holography</title>
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rel="stylesheet">
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<body>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">Replay: Multi-modal Multi-view Acted Videos for Casual Holography</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="http://shapovalov.ro">Roman Shapovalov</a><sup>*</sup>,</span>
<span class="author-block">
<a href="https://www.yanirk.com/">Yanir Kleiman</a><sup>*</sup>,
</span>
<span class="author-block">
<a href="https://www.irocco.info/">Ignacio Rocco</a><sup>*</sup>,
</span>
<span class="author-block">
<a href="https://d-novotny.github.io/">David Novotny</a>,
</span>
<span class="author-block">
<a href="https://www.robots.ox.ac.uk/~vedaldi/">Andrea Vedaldi</a>,
</span>
<span class="author-block">
<a href="https://changan.io/">Changan Chen</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://fkokkinos.github.io/">Filippos Kokkinos</a>,
</span>
<span class="author-block">
<a href="https://ai.meta.com/people/benjamin-graham/">Ben Graham</a>,
</span>
<span class="author-block">
<a href="https://nneverova.github.io/">Natalia Neverova</a>
</span>
</div>
<div class="is-size-4 publication-authors">
<span class="author-block"><sup>*</sup><i>equal contribution</i></span><br>
<span class="author-block">Meta AI,</span>
<span class="author-block"><sup>1</sup>University of Texas at Austin</span>
</div>
<!--<div class="is-size-4 has-text-centered">
<p> <a href="https://cvpr2023.thecvf.com/">CVPR 2023</a> </p>
</div> -->
<div class="column has-text-centered">
<div class="publication-links">
<!-- PDF Link. -->
<span class="link-block">
<a href="https://arxiv.org/abs/2307.12067"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fas fa-file-pdf"></i>
</span>
<span>Paper</span>
</a>
</span>
<!-- Video Link. -->
<!-- <span class="link-block">
<a href="https://youtu.be/5X8JdLYUA8w"
class="external-link button is-normal is-rounded is-dark">
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<span>Code</span>
</a>
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<!-- Dataset Link. -->
<span class="link-block">
<a href="https://github.com/facebookresearch/replay_dataset"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="far fa-images"></i>
</span>
<span>Data</span>
</a>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<!-- show a static image below-->
<img src="static/images/appen-setup.jpg">
<!-- <video id="teaser" autoplay muted loop playsinline height="100%">
<source src="./static/videos/teaser.mp4"
type="video/mp4">
</video> -->
<h2 class="subtitle has-text-centered">
</h2>
</div>
</div>
</section>
<!-- <section class="hero is-light is-small">
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<div class="item item-steve">
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<source src="./static/videos/steve.mp4"
type="video/mp4">
</video>
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</section> -->
<section class="section">
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
We introduce Replay, a collection of multi-view, multi-modal videos of humans interacting socially.
Each scene is filmed in high production quality, from different viewpoints with several static cameras,
as well as wearable action cameras, and recorded with a large array of microphones at different positions
in the room. Overall, the dataset contains over 3000 minutes of footage and over 5 million timestamped
high-resolution frames annotated with camera poses and partially with foreground masks.
The Replay dataset has many potential applications, such as novel-view synthesis, 3D reconstruction,
novel-view acoustic synthesis, human body and face analysis, and training generative models.
We provide a benchmark for training and evaluating novel-view synthesis, with two scenarios of
different difficulty. Finally, we evaluate several baseline state-of-the-art methods on the new benchmark.
</p>
</div>
<!-- <video id="what_is_nvas" autoplay muted loop playsinline height="100%">
<source src="./static/videos/what_is_nvas.mp4"
type="video/mp4">
</video> -->
</div>
</div>
<!--/ Abstract. -->
<!-- dataset section-->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Replay dataset</h2>
<div class="content has-text-justified">
<p>
The full Replay dataset consists of 68 scenes of social interactions between people, such as playing boarding games,
exercising, or unwrapping presents. Each scene is about 5 minutes long and filmed with 12 cameras, static and dynamic.
Audio is captured separately by 12 binaural microphones and additional near-range microphones for each actor and for
each egocentric video. All sensors are temporally synchronized, undistorted, geometrically calibrated, and color calibrated.
</p>
</div>
<p><b>Example DSLR Videos and Binaural Audios</b> <br>
(wear headphone to hear the spatial sound)</p>
<!-- <video id="replay_nvas" autoplay muted loop playsinline height="100%"> -->
<video id="replay_nvas" height="100%" controls>
<source src="./static/videos/replay_demo_720p.mov"
type="video/mp4">
</video>
</div>
</div>
<!-- Code section-->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Get Started</h2>
<div class="content has-text-justified">
<p>
To access the data, follow the instructions in <a href="https://github.com/facebookresearch/replay_dataset">the github repo</a>.
</p>
</div>
</div>
</div>
<!-- application section-->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-3">Tasks and benchmarks</h2>
<div class="content has-text-justified">
<p>
This new large-scale multi-view multimodal dataset supports many tasks such as novel-view synthesis (NVS) and novel-view acoustic synthesis (NVAS).
</p>
<p><center><b>Novel-view Acoustic Synthesis</b><br> <a href="https://arxiv.org/abs/2301.08730">[paper]</a>
<a href="https://vision.cs.utexas.edu/projects/nvas/">[project]</a>
<a href="https://github.com/facebookresearch/novel-view-acoustic-synthesis">[code]</a></center></p>
<video id="teaser" autoplay muted loop playsinline height="100%">
<source src="./static/videos/teaser.mp4"
type="video/mp4">
</video>
</div>
</div>
</div>
<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@inproceedings{shapovalov2023replay,
title = {Replay: Multi-modal Multi-view Acted Videos for Casual Holography},
author = {Roman Shapovalov and Yanir Kleiman and Ignacio Rocco and David Novotny and Andrea Vedaldi and Changan Chen and Filippos Kokkinos and Ben Graham and Natalia Neverova},
year = {2023},
booktitle = {ICCV},
}</code>
<code>@inproceedings{chen2023nvas,
title = {Novel-view Acoustic Synthesis},
author = {Changan Chen and Alexander Richard and Roman Shapovalov and Vamsi Krishna Ithapu and Natalia Neverova and Kristen Grauman and Andrea Vedaldi},
year = {2023},
booktitle = {CVPR},
}</code></pre>
</div>
</section>
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