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<!DOCTYPE html>
<html>
<!-- S head -->
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<head>
<meta charset="utf-8">
<meta name="description"
content="PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control">
<meta name="keywords" content="Personalized Video Generation, Pose Guidance, One-Shot, Diffusion Models">
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<title>PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control</title>
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<section class="hero">
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<!-- 标题 -->
<h1 class="title is-1 publication-title">PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control</h1>
<!-- 作者 -->
<div class="is-size-5 publication-authors">
<span class="author-block">
Yong Zhong*</a><sup>1</sup>,</span>
<span class="author-block">
Min Zhao*</a><sup>1</sup>,</span>
<span class="author-block">
Zebin You</a><sup>1</sup>,</span>
<span class="author-block">
Xiaofeng Yu</a><sup>2</sup>,</span>
<span class="author-block">
Changwang Zhang</a><sup>2</sup>,</span>
<span class="author-block">
Chongxuan Li</a><sup>**1</sup>,
</span>
</div>
<!-- 作者单位 -->
<div class="is-size-5 publication-authors">
<span class="author-block"><sup>1</sup>Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China</span>
<span class="author-block"><sup>2</sup>Huawei Technologies Co., Ltd</span>
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class="external-link button is-normal is-rounded is-dark">
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</div>
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type="video/mp4">
</video>
<h2 class="subtitle has-text-centered">
<span class="dnerf">ControlVideo</span> fine-grained and controllable video editing
</h2>
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-->
<!-- E 预告片 -->
<!-- -->
<!--
<h2 class="subtitle has-text-centered">
<span class="dnerf">ControlVideo</span> fine-grained and controllable video editing
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<!-- S 摘要 & Video-->
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<h2 class="title is-2">Abstract</h2>
<div class="content has-text-justified">
<p>
In this paper, we introduce <span class="dcontrolvideo">PoseCrafter</span>, a one-shot method for personalized video generation following the control of flexible poses. Built upon Stable Diffusion and ControlNet, we carefully design an inference process to produce high-quality videos without the corresponding ground-truth frames. First, we select an appropriate reference frame from the training video and invert it to initialize all latent variables for generation. Then, we insert the corresponding training pose into the target pose sequences to enhance faithfulness through a trained temporal attention module. Furthermore, to alleviate the face and hand degradation resulting from discrepancies between poses of training videos and inference poses, we implement simple latent editing through an affine transformation matrix involving facial and hand landmarks. Extensive experiments on several datasets demonstrate that PoseCrafter achieves superior results to baselines pre-trained on a vast collection of videos under 8 commonly used metrics.
Besides, PoseCrafter can follow poses from different individuals or artificial edits and simultaneously retain the human identity in an open-domain training video.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
<!-- Method. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<h2 class="title is-2">Method</h2>
<div class="custom-image">
<img src="./static/images/method.png" alt="Our method.">
</div>
<div class="content has-text-justified">
<p>
Built upon Stable Diffusion and ControlNet, PoseCrafter requires merely fine-tuning the pre-trained model on a single open-domain video.
Technically, we carefully design an inference process to produce high-quality videos following flexible pose control without the corresponding frames. First, we select an appropriate reference frame from the training video and invert it to initialize all latent variables for generation. Then, we insert the corresponding training pose into the target pose sequences to enhance faithfulness through a trained temporal attention module. Furthermore, to alleviate the face and hand degradation resulting from discrepancies between poses of training videos and inference poses, we implement simple latent editing through an affine transformation matrix involving facial and hand landmarks.
<!--<b>For fair comparisons, following previous works, we sample 8 frames from each video. We also show the edited results with 48 frames</b>.-->
</p>
</div>
</div>
</div>
<!--/ Method. -->
<!-- Paper video. -->
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frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe>
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</div>
-->
<!--/ Paper video. -->
</div>
</section>
<!-- S DEMO -->
<section class="hero is-light is-small">
<section class="section">
<div class="columns is-centered has-text-centered">
<h2 class="title is-2">Results</h2>
</div>
<div> <span>
The video format is organized as follows: the first column contains training frames used for PoseCrafter training;
the second column includes derived frames, from which poses will be extracted;
the third column shows derived poses extracted from the derived frames;
the fourth column presents frames generated by PoseCrafter, guided by the poses of the derived frames.
<span class="red-word"> Please note that PoseCrafter did not train on the derived frames and we only extracted inference poses from them.</span> </span> </div>
<div class="divider"></div>
<!-- HED-1 -->
<div class="container demo">
<h2 class="title is-3">Inference with Poses from the Same Individual</h2>
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="main-video" controls height="100%" >
<source src="./static/video/1.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=8, M=100</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="HEDgirl3style" sync="main-video" controls height="100%">
<source src="./static/video/3.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
</div>
<!-- HED-2-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="HEDgirl7golden" sync="main-video" controls height="100%">
<source src="./static/video/4.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="HEDgirl7night" sync="main-video" controls height="100%">
<source src="./static/video/5.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
</div>
<!-- HED-3-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="HEDcar10red" sync="main-video" controls height="100%">
<source src="./static/video/12.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="HEDcat4black" sync="main-video" controls height="100%">
<source src="./static/video/11.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
</div>
<!-- HED-4-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="HEDswancrystal" sync="main-video" controls height="100%">
<source src="./static/video/6.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100 (+ red hair and beard)</span>
</p>
</div>
</div>
</div>
<div class="divider"></div>
<!-- Canny-1 -->
<h2 class="title is-3">Inference with Artificially Designed Poses</h2>
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="cannycar11red" sync="main-video" controls height="100%" >
<source src="./static/video/7.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=8</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="cannycar11autumn" sync="main-video" controls height="100%">
<source src="./static/video/8.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=8</span>
</p>
</div>
</div>
</div>
<!-- Canny-2-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="cannygirl8red" sync="main-video" controls height="100%">
<source src="./static/video/9.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=16</span>
</p>
</div>
</div>
</div>
<div class="divider"></div>
<!-- Depth-1 -->
<h2 class="title is-3">Inference with Poses from Different individuals</h2>
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="depthback1sun" sync="main-video" controls height="100%" >
<source src="./static/video/10.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=50, M=50</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="depthback1style" sync="main-video" controls height="100%">
<source src="./static/video/16.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=50, M=50</span>
</p>
</div>
</div>
</div>
<!-- Depth-2-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="depthcake" sync="main-video" controls height="100%">
<source src="./static/video/13.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
<div class="column">
<div class="item">
<video id="depthcar" sync="main-video" controls height="100%">
<source src="./static/video/14.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
<span class="red-word">N=100, M=100</span>
</p>
</div>
</div>
</div>
<!-- Depth-2-->
<div class="columns is-centered">
<div class="column">
<div class="item">
<video id="depthcake" sync="main-video" controls height="100%">
<source src="./static/video/15.mp4"
type="video/mp4">
</video>
<p class="demo-caption">
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<span>Ground Truth</span>
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<span><b>PoseCrafter <br>(N=8)</b></span>
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<span>Disco</span>
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<span>Fine-tuned <br> Disco</span>
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<span><b>PoseCrafter <br>(N=32)</b></span>
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<div class="bottom-text-group">
<span><b>PoseCrafter <br>(N=8)</b></span>
</div>
<div class="bottom-text-group">
<span>Disco</span>
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<div class="bottom-text-group">
<span>Fine-tuned <br> Disco</span>
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<span>MagicAnimate</span>
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<div class="bottom-text-group">
<span>GEN-2</span>
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<source src="./static/video/tiktok.mp4"
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<p>
There are a lot of excellent works that are related to PoseCrafter.
</p>
<p>
<a href="https://github.com/CompVis/latent-diffusion">High-resolution image synthesis with latent diffusion models</a>
</p>
<p>
<a href="https://github.com/lllyasviel/ControlNet">Adding Conditional Control to Text-to-Image Diffusion Models</a>
</p>
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<a href="https://github.com/thu-ml/controlvideo">ControlVideo: Adding Conditional Control for One Shot Text-to-Video Editing</a>
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<h2 class="title">BibTeX</h2>
<pre><code>@article{zhong2024posecrafter,
title={PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control},
author={Zhong, Yong and Zhao, Min and You, Zebin and Yu, Xiaofeng and Zhang, Changwang and Li, Chongxuan},
journal={arXiv preprint arXiv:2405.14582},
year={2024}
}
</code></pre>
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