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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta property="og:title" content="GenesisTex: Adapting Image Denoising Diffusion to Texture Space"/>
<meta property="og:url" content="https://cjeen.github.io/GenesisTexPaper/"/>
<meta property="og:image" content="static/figures/teaser.jpg" />
<meta property="og:image:width" content="2603"/>
<meta property="og:image:height" content="680"/>
<title>GenesisTex: Adapting Image Denoising Diffusion to Texture Space</title>
<link href="https://fonts.googleapis.com/css?family=Google+Sans|Noto+Sans|Castoro"
rel="stylesheet">
<link rel="icon" href="static/figures/icon.png">
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<script src="static/js/index.js"></script>
</head>
<body>
<section class="publication-header">
<div class="hero-body">
<div class="container is-max-widescreen">
<!-- <div class="columns is-centered"> -->
<div class="column has-text-centered">
<h1 class="title is-1 publication-title">GenesisTex: Adapting Image Denoising Diffusion to Texture Space</h1>
</div>
</div>
</div>
</section>
<section class="publication-author-block">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<div class="is-size-4 publication-authors">
<span class="author-block">Chenjian Gao<sup>1,2#</sup>,</span>
<span class="author-block">Boyan Jiang<sup>2</sup>,</span>
<span class="author-block">Xinghui Li<sup>2</sup>,</span>
<span class="author-block">Yingpeng Zhang<sup>2#</sup>,</span>
<span class="author-block">Qian Yu<sup>1*</sup></span>
</div>
<div class="is-size-4 publication-authors">
<span class="author-block"><sup>#</sup>Equal contribution</span><br>
<span class="author-block"><sup>*</sup>Corresponding author</span>
</div><br><br>
<div class="is-size-4 publication-authors">
<span class="author-block"><sup>1</sup>BeiHang University</span><br>
<span class="author-block"><sup>2</sup>R&D Efficiency and Capability Department, Tencent IEG</span>
</div><br>
<div class="is-size-5 publication-authors">
<span class="author-block">CVPR 2024</span>
</div>
<div class="column has-text-centered">
<div class="publication-links">
<span class="link-block">
<a href="./static/paper.pdf" target="_blank"
class="external-link button is-normal is-rounded">
<span class="icon">
<i class="fa fa-infinity"></i>
</span>
<span>Paper</span>
</a>
</span>
<span class="link-block">
<a href="./static/supp.pdf" target="_blank"
class="external-link button is-normal is-rounded">
<span class="icon">
<i class="fa fa-images"></i>
</span>
<span>Supplementry</span>
</a>
</span>
<span class="link-block">
<a href="mailto:[email protected]" target="_blank"
class="external-link button is-normal is-rounded">
<span class="icon">
<i class="fa fa-mail-bulk"></i>
</span>
<span>Contact</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero teaser">
<div class="container is-max-desktop">
<div class="hero-body">
<img src="static/figures/examples.png" alt="Texturing results" width="800px"/>
<h2 class="subtitle has-text-centered">
Texturing results with GenesisTex
</h2>
</div>
</div>
</section>
<section class="section hero is-light">
<div class="container is-max-desktop">
<!-- Abstract. -->
<div class="columns is-centered has-text-centered">
<div class="column is-four-fifths">
<!-- div class="item">
<p style="margin-bottom: 30px">
<video poster="" id="tree" autoplay controls muted loop height="100%">
<source src="static/figures/video.mp4"
type="video/mp4">
</video>
</p>
</div -->
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
We present GenesisTex, a novel method for synthesizing textures for 3D geometries from text descriptions. GenesisTex adapts the pretrained image diffusion model to texture space by texture space sampling. Specifically, we maintain a latent texture map for each viewpoint, which is updated with predicted noise on the rendering of the corresponding viewpoint. The sampled latent texture maps are then decoded into a final texture map. During the sampling process, we focus on both global and local consistency across multiple viewpoints: global consistency is achieved through the integration of style consistency mechanisms within the noise prediction network, and low-level consistency is achieved by dynamically aligning latent textures. Finally, we apply reference-based inpainting and img2img on denser views for texture refinement. Our approach overcomes the limitations of slow optimization in distillation-based methods and instability in inpainting-based methods. Experiments on meshes from various sources demonstrate that our method surpasses the baseline methods quantitatively and qualitatively.
</p>
</div>
</div>
</div>
<!--/ Abstract. -->
</div>
</section>
<section class="section hero">
<div class="container is-max-desktop">
<h2 class="title has-text-centered">Comparisons</h2>
<div class="content">
<video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
<source src="./static/videos/Comparisons.mp4"
type="video/mp4">
</video>
</div>
</div>
</section>
<section class="section hero">
<div class="container is-max-desktop">
<h2 class="title has-text-centered">Consistency Ablations</h2>
<div class="content">
<video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
<source src="./static/videos/Ablations_Consistency.mp4"
type="video/mp4">
</video>
</div>
</div>
</section>
<section class="section hero">
<div class="container is-max-desktop">
<h2 class="title has-text-centered">Texturing with Stable Diffusion XL</h2>
<div class="content">
<video id="dollyzoom" autoplay controls muted loop playsinline height="100%">
<source src="./static/videos/Stable_Diffusion_XL.mp4"
type="video/mp4">
</video>
</div>
</div>
</section>
<section class="section hero is-small is-light">
<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">How does it work?</h2>
</div>
</div>
<div class="content">
<div class="column is-centered has-text-centered">
<img src="static/figures/method.png" alt="Texturing Pipeline" width="100%"/>
</div>
</div>
<h4 class="subtitle has-text-justified">
GenesisTex generates a texture map for a given mesh based on a prompt. Texture Space Sampling samples a texture map using Stable Diffusion, introducing style consistency and dynamic alignment across multiple viewpoints. Furthermore, Inpainting and Img2Img are applied to fill in the blank regions and enhance the quality of texture map details, respectively.
</h4>
<h4 class="subtitle has-text-justified">
Check out the <a href="./static/paper.pdf">paper</a> to learn more 🤓
</h4>
</div>
</section>
<footer class="footer">
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<div class="content">
<p>
This website is licensed under a <a rel="license"
href="http://creativecommons.org/licenses/by-sa/4.0/">Creative
Commons Attribution-ShareAlike 4.0 International License</a>.
</p>
<p>
Credits for shapes are given in the paper. Please follow their respective licenses upon reuse.
</p>
<p>
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