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<!DOCTYPE html>
<html lang="en">
<head>
<meta content="Ultraman" name="title" />
<meta content="Single Image 3D Human Reconstruction with Ultra Speed and Detail" name="description" />
<meta content="3D Generative Model, Computer Vision, Computer Graphics, Human Modeling, 3D Human Synthesis, Avatar Animation" name="keywords" />
<meta content="index, follow" name="robots" />
<meta content="text/html; charset=utf-8" http-equiv="Content-Type" />
<meta content="English" name="language" />
<meta content="Junhao Chen" name="author" />
<title>Ultraman</title>
<link rel="icon" type="img/x-icon" href="img/favicon.ico" />
<!-- Bootstrap -->
<script src="js/video_comparison.js"></script>
<script src="js/jquery-3.4.1.min.js"></script>
<script src="js/bootstrap-4.4.1.js"></script>
<link href="css/bootstrap-4.4.1.css" rel="stylesheet" />
<link href="https://cdn.jsdelivr.net/gh/jpswalsh/academicons@1/css/academicons.min.css" rel="stylesheet" />
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<link href="https://fonts.googleapis.com/css2?family=Jost:wght@300;400;500;700;800;900&display=swap" rel="stylesheet" />
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<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/katex.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/[email protected]/dist/contrib/auto-render.min.js"></script>
<!-- <link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro" rel="stylesheet" /> -->
<link rel="stylesheet" href="css/bulma.min.css" />
<!-- <link rel="stylesheet" href="css/bulma-carousel.min.css" /> -->
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<script defer src="js/fontawesome.all.min.js"></script>
<!-- <script src="js/bulma-carousel.min.js"></script> -->
<script src="js/bulma-slider.min.js"></script>
<script src="js/index.js"></script>
<style>
code {
white-space: pre-wrap;
}
body {
font-family: 'Jost';
}
b {
font-weight: black;
}
strong {
font-weight: bold;
}
section>h5 {
padding-bottom: 30px;
}
.col-12>h3 {
padding-top: 30px;
}
.results-section {
padding-bottom: 30px;
}
.carousel-control-prev,
.carousel-control-next {
background-color: rgba(0, 0, 0, 0.5);
border-radius: 50%;
width: 50px;
height: 50px;
display: flex;
align-items: center;
justify-content: center;
position: absolute;
top: 50%;
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}
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left: 25px;
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right: 25px;
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display: flex;
align-items: center;
justify-content: center;
position: absolute;
bottom: 10%;
left: 90%;
/* Adjust vertical position */
text-align: center;
/* Center the content horizontally */
margin: 0;
padding: 0;
list-style: none;
}
.carousel-indicators li {
background-color: transparent;
/* Hide the default Bootstrap indicators */
border: none;
/* Remove border */
margin: 0 25px;
display: inline-block;
}
.indicator-dot {
display: inline-block;
width: 15px;
height: 15px;
text-indent: -999px;
border: none;
border-radius: 10px;
background-color: rgba(0, 0, 0, 0.5);
}
.row.sm-gutters {
margin-right: 5px;
margin-left: 5px;
margin-top: 5px;
margin-bottom: 5px;
}
.row.sm-gutters-2 {
justify-content: center;
align-items:center;
}
.row.sm-gutters>.col-md-4 {
padding-right: 5px;
padding-left: 5px;
padding-top: 5px;
padding-bottom: 5px;
}
.row.sm-gutters>.col-md-6 {
padding-right: 5px;
padding-left: 5px;
padding-top: 5px;
padding-bottom: 5px;
}
.row.sm-gutters>.col-md-6-2 {
justify-content: center;
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padding-bottom: 5px;
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padding-left: 5px;
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width: 80%;
/* Or whatever size you want */
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overflow: hidden;
/* Hide the parts of the video outside the container */
object-fit: cover;
/* Make sure the video covers the container without stretching */
object-position: center;
/* Center the video */
border-radius: 5px;
}
.mobile-zoom-container {
width: 100%;
/* Or whatever size you want */
aspect-ratio: 0.75;
/* Or whatever size you want */
overflow: hidden;
/* Hide the parts of the video outside the container */
object-fit: cover;
/* Make sure the video covers the container without stretching */
object-position: center;
/* Center the video */
border-radius: 5px;
margin: 5px
}
.video-zoom-container {
overflow: hidden;
/* Hide the parts of the video outside the container */
object-fit: cover;
/* Make sure the video covers the container without stretching */
object-position: center;
border-radius: 5px;
margin: 5px;
}
.zoom-element {
transition: transform 0.2s ease-in-out;
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.zoom-element:hover {
transform: scale(1.65);
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transform: scale(1.45);
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.renbody-zoom {
transform: scale(1.65) translateY(2%);
border-radius: 5px;
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.mobile-zoom {
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transform: scale(1.3);
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video {
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padding: 0px;
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aspect-ratio: 1600/1672;
}
img {
display: block;
margin: 0 auto;
}
</style>
<script>
</script>
</link>
</head>
<body>
<!-- cover -->
<section>
<div class="jumbotron text-center mt-0">
<div class="container">
<div class="row">
<div class="col-12">
<h1 style="font-weight: bold">
<b style="color: #5a3e91">Ultra</b><b style="color: #d73d5f">man</b>:
Single Image 3D Human Reconstruction <br> with Ultra Speed and Detail
</h1>
<!-- <h4 style="color:#5a6268;"> Conference [To be added] </h4> -->
<a href="https://github.com/tomorrow1238" target="_blank">Mingjin Chen<sup>*1,2</sup>, </a>
<a href="https://scholar.google.com/citations?hl=en&user=uVMnzPMAAAAJ" target="_blank">Junhao Chen<sup>*1,3</sup>, </a>
<a href="https://scholar.google.com/citations?user=BKMYsm4AAAAJ&hl=en" target="_blank">Xiaojun Ye<sup>1,4</sup>, </a>
<a href="https://scholar.google.com/citations?hl=en&user=WvbKfLgAAAAJ" target="_blank">Huan-ang Gao<sup>1</sup>, </a>
<a href="https://scholar.google.com/citations?hl=en&user=_tz64W0AAAAJ" target="_blank">Xiaoxue Chen<sup>1</sup>, </a>
<a href="https://github.com/zhaoxinf" target="_blank">Zhaoxin Fan<sup>5</sup>, </a>
<a href="https://scholar.google.com/citations?hl=en&user=ygQznUQAAAAJ" target="_blank">Hao Zhao<sup>†1</sup> </a>
</a>
<p>
<sup>1</sup>Institute for AI Industry Research (AIR), Tsinghua University
<br>
<sup>2</sup>Beijing Normal University - Hong Kong Baptist University United International College
<br>
<sup>3</sup>Tsinghua Shenzhen International Graduate School, Tsinghua University
<br>
<sup>4</sup>College of Computer Science, Zhejiang University
<br>
<sup>5</sup>State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
<span class="eql-cntrb"><small><br><sup>*</sup>Indicates Equal Contribution</small></span>
<span style="margin: 1em;"></span>
<span class="eql-cntrb"><small><sup>†</sup>Indicates Corresponding Author</small></span>
</p>
<div class="column has-text-centered">
<div class="publication-links">
<!-- Arxiv PDF link -->
<span class="link-block">
<a href="https://arxiv.org/pdf/2403.12028.pdf" target="_blank"
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>
<!-- Github link -->
<span class="link-block">
<a href="https://github.com/tomorrow1238/Ultraman" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span>Code</span>
</a>
</span>
<!-- ArXiv abstract Link -->
<span class="link-block">
<a href="hhttps://arxiv.org/abs/2403.12028" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span>arXiv</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- 正文 -->
<!-- <section>
<div class="container">
<h6 style="color: #8899a5">
Without any 3D or 2D pre-training, our proposed Ultraman is able to quickly synthesize complete, realistic and highly detailed 3D avatars based on a single input RGB image.
</h6>
<video autoplay="" class="a16x9demo" data-desktop-vid1="videos\overview.mp4"
loop="" muted="" playsinline="" poster="img/spinner.svg" width="100%">
</video>
</div>
</section> -->
<h6 style="color: #8899a5">
Without any 3D or 2D pre-training, our proposed Ultraman is able to quickly synthesize complete, realistic and highly detailed 3D avatars based on a single input RGB image.
<!-- The videos might take a few moments to load. -->
</h6>
<section>
<div class="container">
<div class="row justify-content-center">
<div class="col-md-12 text-center">
<div class="carousel slide" data-interval="10000" data-ride="carousel" id="bkgdCarousel">
<ol class="carousel-indicators">
<li class="active" data-slide-to="0" data-target="#bkgdCarousel">
<span class="indicator-dot"></span>
</li>
<li data-slide-to="1" data-target="#bkgdCarousel">
<span class="indicator-dot"></span>
</li>
</ol>
<div class="carousel-inner">
<div class="carousel-item active">
<div class="row sm-gutters">
<div class="col-md-12">
<video autoplay="" class="a16x9demo" data-desktop-vid1="./assets/demo_anime_action_p1.mp4"
loop="" muted="" playsinline="" poster="img/spinner.svg" width="100%">
</video>
</div>
</div>
</div>
<div class="carousel-item">
<div class="row sm-gutters">
<div class="col-md-12">
<video class="a16x9demo" data-desktop-vid1="./assets/demo_anime_action_p2.mp4"
data-desktop-vid2="./assets/demo_anime_action_p2.mp4"
loop="" muted="" playsinline="" poster="img/spinner.svg" preload="none" width="100%">
</video>
</div>
</div>
</div>
<!-- Additional carousel items... -->
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<a class="carousel-control-prev" data-slide="prev" href="#bkgdCarousel" role="button">
<span aria-hidden="true" class="carousel-control-prev-icon"></span>
<span class="sr-only">Previous</span>
</a>
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</section>
<!-- Abstract -->
<section>
<div class="container">
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<div class="col-12">
<h3>Abstract</h3>
<hr style="margin-top: 0px" />
<!-- <img src="img/teaser.jpg" width="100%" />-->
<p class="text-left">
3D human body reconstruction has been a challenge in the field of computer vision. Previous methods are often time-consuming and difficult to capture the detailed appearance of the human body.
In this paper, we propose a new method called <strong>Ultraman</strong> for fast reconstruction of textured 3D human models from a single image. Compared to existing techniques, <strong>Ultraman</strong> greatly improves the reconstruction speed and accuracy while preserving high-quality texture details.
We present a set of new frameworks for human reconstruction consisting of three parts, geometric reconstruction, texture generation and texture mapping.
Firstly, a mesh reconstruction framework is used, which accurately extracts 3D human shapes from a single image. At the same time, we propose a method to generate a multi-view consistent image of the human body based on a single image. This is finally combined with a novel texture mapping method to optimize texture details and ensure color consistency during reconstruction.
Through extensive experiments and evaluations, we demonstrate the superior performance of <strong>Ultraman</strong> on various standard datasets. In addition, <strong>Ultraman</strong> outperforms state-of-the-art methods in terms of human rendering quality and speed. Upon acceptance of the article, we will make the code and data publicly available.
</p>
</div>
</div>
</div>
</section>
<!-- Method -->
<section>
<div class="container">
<div class="row">
<div class="col-12">
<h3>Method</h3>
<hr style="margin-top: 0px" />
<video autoplay="" class="a16x9demo" data-desktop-vid1="videos\overview.mp4"
loop="" muted="" playsinline="" width="100%">
</video>
<!-- <img src="img/pipeline.png" width="80%" /> -->
<p>
Overview of the framework of <strong>Ultraman</strong>. <strong>Ultraman</strong> takes a image $I_0$ of human as input. The blue rounded dashed rectangle is denoted as the Prompt Generation Module and the responses to the questions are generated by GPT4V. The red rounded dashed rectangles are indicated as mesh reconstruction modules. It generates the mesh and UV map. The yellow rounded dashed rectangle is the multi-view texture generation module. It includes a control model $\mathcal{M}_c$, which controls the generation of texture in the current viewpoint by accepting the prompt from the current viewpoint, and by using the depth map rendered by the mesh and the input image. The Texturing module pastes the corresponding texture back onto the mesh according to the generation mask.
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<h4>Text Guided Synthesis</h4>
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<p>"A <strong>black woman</strong> with colorful strapless dress, 46 years old, blonde long shag"</p>
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<p>"A realistic painting of <strong>Lionel Messi</strong> in his Argentina national team kit."</p>
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<p>"A white woman with evening wear bootcut jeans, 32 years old, dirty blonde long"</p>
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<p>"A middle eastern man with impressive parka, 62 years old, mahogany taper haircut"</p>
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Animate-Anyone3D: Used for animate anyone with their underlying 3D structures.
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<h4>Local Editing</h4>
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You can easily edit guided images to obtain changed 3D models. Slides for edited results.
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<pre style="background-color: #e9eeef; padding: 1.5em 1.5em; border-radius: 20px">
<code>@article{chen2024ultraman,
title={Ultraman: Single Image 3D Human Reconstruction with Ultra Speed and Detail},
author={Mingjin Chen and Junhao Chen and Xiaojun Ye and Huan-ang Gao and Xiaoxue Chen and Zhaoxin Fan and Hao Zhao},
year={2024},
eprint={2403.12028},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
</code></pre>
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