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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta name="description" content="VideoBooth: Diffusion-based Video Generation with Image Prompts.">
<meta name="keywords" content="video generation, AIGC, text-based, diffusion model">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>VideoBooth</title>
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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">VideoBooth: Diffusion-based Video Generation with Image Prompts
</h1>
<div class="is-size-5 publication-authors">
<span class="author-block">
<a href="https://yumingj.github.io/" target="_blank">Yuming Jiang</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://tianxingwu.github.io/" target="_blank">Tianxing Wu</a><sup>1</sup>,</span>
<span class="author-block">
<a href="https://williamyang1991.github.io/" target="_blank">Shuai Yang</a><sup>1</sup>,</span>
</span>
<span class="author-block">
<a href="https://chenyangsi.top/" target="_blank">Chenyang Si</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="http://dahua.site/" target="_blank">Dahua Lin</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://scholar.google.com.sg/citations?user=gFtI-8QAAAAJ&hl=en" target="_blank">Yu
Qiao</a><sup>2</sup>,
</span>
<span class="author-block">
<a href="https://www.mmlab-ntu.com/person/ccloy/" target="_blank">Chen Change Loy</a><sup>1</sup>,
</span>
<span class="author-block">
<a href="https://liuziwei7.github.io/" target="_blank">Ziwei Liu</a><sup>1</sup>,
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>S-Lab, Nanyang Technological University</span>
<span class="author-block"><sup>2</sup>Shanghai AI Laboratory</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
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<a href="https://arxiv.org/pdf/2312.00777.pdf"
class="external-link button is-normal is-rounded is-dark" target="_blank">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
<!-- Code Link. -->
<span class="link-block">
<a href="https://github.com/Vchitect/VideoBooth"
class="external-link button is-normal is-rounded is-dark" target="_blank">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
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<a href="https://youtu.be/10DxH1JETzI" class="external-link button is-normal is-rounded is-dark"
target="_blank">
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</span>
<span>Video</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="card" style="width:55%">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/teaser_video.mp4" type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
<span class="dnerf">VideoBooth</span> generates videos with the subjects specified in the <span
style="color:#d68215; font-weight: bold; font-style: italic">image prompts</span>.
</h2>
<!-- </div> -->
</div>
</section>
<section class="card" style="width:55%; margin-top: 30px; margin-bottom: 30px;">
<h2 class="title is-4">Abstract</h2>
<p style="text-align: justify">
Text-driven video generation witnesses rapid progress. However, merely using text prompts is not enough to depict
the
desired subject appearance that accurately aligns with users' intents, especially for customized content creation.
In
this paper, we study the task of video generation with image prompts, which provide more accurate and direct
content
control beyond the text prompts. Specifically, we propose a feed-forward framework <b>VideoBooth</b>, with two
dedicated designs:
<b>1)</b> We propose to embed image prompts in a coarse-to-fine manner.
Coarse visual embeddings from image encoder provide high-level encodings of image prompts, while fine visual
embeddings
from the proposed attention injection module provide multi-scale and detailed encoding of image prompts.
These two complementary embeddings can faithfully capture the desired appearance.
<b>2)</b> In the attention injection module at fine level, multi-scale image prompts are fed into different
cross-frame attention
layers as additional keys and values.
This extra spatial information refines the details in the first frame and then it is propagated to the remaining
frames,
which maintains temporal consistency.
Extensive experiments demonstrate that VideoBooth achieves state-of-the-art performance in generating customized
high-quality videos with subjects specified in image prompts. Notably, VideoBooth is a generalizable framework
where a
single model works for a wide range of image prompts with feed-forward pass.
</p>
</section>
<section class="card" style="width:55%; margin-top: 30px; margin-bottom: 30px;">
<h2 class="title is-4">Method</h2>
<video id="method" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/method.mp4" type="video/mp4">
</video>
<!-- <p> <a style="cursor:pointer;" data-fancybox data-src="./Text2Performer/framework.png width:80%"> <img
src="./VideoBooth/framework.png"> </a> </p> -->
<!-- <p style="text-align: center">We propose to inject image prompts in a coarse-to-fine manner: 1) The coarse visual
embedding is inserted into the text embeddings. 2) Fine visual embeddings serve as additional keys and values to
refine the synthetic details.</p> -->
</section>
<div class="slideshow-container" style="width:55%; margin-top: 30px;">
<div class="mySlides0 fade">
<div class="card">
<h2 class="title is-4">Results: Same Image Prompts with Different Texts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/results_1.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/results_1.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
<div class="mySlides0 fade">
<div class="card">
<h2 class="title is-4">Results: Same Image Prompts with Different Texts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/results_2.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/results_2.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
<div class="mySlides0 fade">
<div class="card">
<h2 class="title is-4">Results: Same Image Prompts with Different Texts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/results_3.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/results_3.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
<div class="mySlides0 fade">
<div class="card">
<h2 class="title is-4">Results: Same Image Prompts with Different Texts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/results_4.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/results_4.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
<div class="mySlides0 fade">
<div class="card">
<h2 class="title is-4">Results: Same Image Prompts with Different Texts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/results_5.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/results_5.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
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<div class="card">
<h2 class="title is-4">Results: Same Texts with Different Image Prompts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/different_img_results1.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/different_img_results1.mp4" type="video/mp4">
</video> </a> </p>
</div>
</div>
<div class="mySlides1 fade">
<div class="card">
<h2 class="title is-4">Results: Same Texts with Different Image Prompts</h2>
<p> <a style="cursor:pointer;" data-fancybox data-src="./VideoBooth/different_img_results2.mp4">
<video id="teaser" autoplay controls muted loop style="height:auto">
<source src="./VideoBooth/different_img_results2.mp4" type="video/mp4">
</video> </a> </p>
</div>
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<section class="section" id="BibTeX">
<div class="container is-max-desktop content">
<h2 class="title">BibTeX</h2>
<pre><code>@article{jiang2023videobooth,
author = {Jiang, Yuming and Wu, Tianxing and Yang, Shuai and Si, Chenyang and Lin, Dahua and Qiao, Yu and Loy, Chen Change and Liu, Ziwei},
title = {VideoBooth: Diffusion-based Video Generation with Image Prompts},
year = {2023}
}</code></pre>
</div>
</section>
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