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<!--
SPDX-FileCopyrightText: Ⓒ 2024 NCSOFT Corporation. All Rights Reserved.
SPDX-License-Identifier: BSD-3-Clause
-->
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation</title>
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<link rel="icon" type="image/x-icon" href="assets/capa2.ico" />
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<style>
a {
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<!-- Projects Section-->
<section class="py-5">
<br/>
<div class="container px-5 mb-5 content">
<div class="text-center mb-5">
<!-- Project Title -->
<h1 class="display-5 fw-bolder mb-0">
<span class="text-gradient d-inline">
CaPa: Carve-n-Paint Synthesis <br/> for Efficient 4K Textured Mesh Generation
</span>
</h1>
<!-- Alert -->
<div class="fs-4 text-muted">
<div style="color: #F9423A;">
<i class="fa fa-bullhorn" style="color:#F9423A"> </i>
Paper and demo coming soon. Stay tuned!
</div>
</div>
<br/>
<!-- Authos -->
<div class="fs-6 text-muted">
<div style="color:black">
<a href="https://hwan-h-heo.github.io/hwan-h-heo.io/">Hwan Heo</a>,
<a href="https://scholar.google.com/citations?user=wXah-2MAAAAJ">Jangyeong Kim</a>,
<a href="https://www.linkedin.com/in/seongyeong-lee-b99914183?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=ios_app">Seongyeong Lee</a>,
<a href="https://www.linkedin.com/in/jaywican/">Jeong A Wi</a>,
Junyoung Choi,
<!-- <a href="https://www.linkedin.com/in/sangjun-ahn-a39892180/"></a> -->
Sangjun Ahn*
</div>
</div>
<div class="fs-5 fw-bolder text-muted">
<div style="color:black; margin-top: 0.5rem;">
Graphics AI Lab,
NCSOFT Research
<!-- <img class="img-fluid" src="assets/text_logo_black.svg" alt="nc research logo" style="height: 1.45rem; margin-bottom: 0.3rem;"> -->
</div>
</div>
<br/>
<!-- Buttons -->
<div style="margin-bottom: 0.3rem;">
<div class="btn btn-outline-dark btn-sm px-3 py-2 fs-7" style="background-color:#333333; color: white; border: 1px solid black; border-radius: 15px;">
<span class="icon">
<i class="ai ai-arxiv"></i>
</span>
<span> Paper (coming soon) </span>
</div>
<div class="btn btn-outline-dark btn-sm px-3 py-2 fs-7" style="background-color:#333333; color: white; border: 1px solid black; border-radius: 15px;">
<i class="fas fa-laptop"></i>
<span> Online Demo (coming soon)</span>
</div>
<a class="btn btn-outline-dark btn-sm px-3 py-2 fs-7" href="https://github.com/ncsoft/CaPa" style="background-color:#333333; color: white; border: 1px solid black; border-radius: 15px;">
<span class="icon">
<i class="fab fa-github"></i>
</span>
<span> Github </span>
</a>
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<!-- Teaser Assets w/ auto-rotate -->
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<model-viewer id="model-viewer-orc"
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<img class="img-fluid" src="assets/teaser.png" width="95%" />
<div style="color:black; margin-top: 0.5rem;">
<strong> TL; DR: </strong> we propose <strong>CaPa</strong>, a novel method for generating high-quality <strong>4K textured mesh</strong> under only 30 seconds, <br/>
providing 3D assets ready for commercial applications such as games, movies, and VR/AR.
</div>
</div>
</div>
<!-- Main Blocks -->
<div class="row gx-5 justify-content-center">
<div class="col-lg-13 col-xl-12 col-xxl-11">
<!-- Abstract -->
<div class="col text-center text-lg-start mb-4 mb-lg-0">
<div class="card shadow p-5 rounded-4">
<p style="font-size: 1.5rem;">
<strong>Abstract</strong>
</p>
<div style="font-size: 1.1rem; text-align: justify;">
The synthesis of high-quality 3D assets from textual or visual inputs has become a central
objective in modern generative modeling.
Despite the proliferation of 3D generation algorithms, they frequently grapple with challenges such as multi-view inconsistency, slow generation times, low fidelity, and surface reconstruction problems.
While some studies have addressed some of these issues, a comprehensive solution remains elusive.
In this paper, we introduce <strong>CaPa</strong>, a carve-and-paint framework that generates high-fidelity 3D assets efficiently.
CaPa employs a two-stage process, decoupling geometry generation from texture synthesis.
Initially, a 3D latent diffusion model generates geometry guided by multi-view inputs, ensuring structural consistency across perspectives.
Subsequently, leveraging a novel, model-agnostic Spatially Decoupled Attention, the framework synthesizes high-resolution textures (up to 4K) for a given geometry.
Furthermore, we propose a 3D-aware occlusion inpainting algorithm that fills untextured regions, resulting in cohesive results across the entire model.
This pipeline generates high-quality 3D assets in less than 30 seconds, providing <em>ready-to-use outputs</em> for commercial applications.
Experimental results demonstrate that CaPa excels in both texture fidelity and geometric stability, establishing a new standard for practical, scalable 3D asset generation.
</div>
</div>
</div>
<br/>
<p><br/></p>
<!-- Methodology -->
<h2 class="text-secondary"> Methodology </h2>
<hr/>
<h3 class="text-success"> Overview </h3>
<br/>
<img class="img-fluid" src="assets/pipeline.png" width="100%" style="margin-top: -2rem; margin-bottom: 1rem;" />
<p style="font-size: 1.08rem; text-align: justify;">
<strong>Pipeline of CaPa</strong>
<ol>
<li>
<strong>1. Geometry Generation:</strong> First, we generate geometry (polygonal mesh) using a 3D latent diffusion model.
Using the learned 3D latent space with ShapeVAE, we train a 3D Latent Diffusion model that generates 3D geometries,
guided by multi-view images from multi-view diffusion model to ensure alignment between the generated shape and texture.
</li>
<li>
<strong>2. Texture Generation:</strong> Second, we render four orthogonal views of the mesh, which serve as inputs for texture generation.
To produce a high-quality texture while preventing the Janus problem, we design a novel, model-agnostic <strong><em>spatially decoupled attention</em>:</strong>
<ul style="margin-top: 0.3rem;">
<li style="margin-bottom: 0.3rem;">This mechanism ensures that each spatial region independently attends to its corresponding view, preserving view-specific details and enhancing multi-view consistency.</li>
<li>Its model-agnostic nature allows integration with any diffusion model, enabling extraordinary texture quality powered by <strong>SDXL</strong>, thus outperforms other 3D generation or texturing methods typically limited to SD1.5.</li>
</ul>
</li>
<li>
<strong>Final Output:</strong>
A hyper-quality textured mesh is obtained through back projection and a 3D-aware occlusion inpainting algorithm.
The entire 3D asset generation process is completed in less than 30 seconds using a fully feed-forward approach.
</li>
</ol>
<!-- We first generate 3D geometry using a 3D latent diffusion model.
Using the learned 3D latent space with ShapeVAE, we train a 3D Latent Diffusion Model that generates 3D geometries, guided by multi-view images to ensure alignment between the generated shape and texture.
After the 3D geometry is created, we render four orthogonal views of the mesh, which serve as inputs for texture generation.
To produce a high-quality texture while preventing the Janus problem, we utilize a novel, model-agnostic <strong>spatially decoupled attention</strong>.
This mechanism ensures that each spatial region independently attends to its corresponding view, preserving view-specific details and enhancing multi-view consistency.
Note that, its model-agnostic nature allows integration with any diffusion model, enabling extraordinary texture quality compared to other 3D generation and texturing methods limited to models like SD1.5.
Finally, a hyper-quality textured mesh is obtained through back projection and a 3D-aware occlusion inpainting algorithm.
The entire 3D asset generation process is completed in less than 30 seconds using a fully feed-forward approach. -->
</p>
<!-- <p> <br/> </p>
<h3 class="text-success"> Spatially Decoupled Cross Attention </h3>
<div class="row justify-content-center">
<img class="img-fluid " src="assets/sdca.png" style="width:80%; margin-bottom: 1rem;" />
</div>
<p style="font-size: 1.08rem; text-align: justify;">
<strong> Illustration of Spatially Decoupled Cross Attention.</strong>
To produce high-quality multi-view images for a given geometry, we design a novel, model-agnostic spatially decoupled attention mechanism.
During cross-attention in denoising U-Net, we replicate hidden feature channels so that each duplicated channels focuses solely on the designated view.
Since the design is model-agnostic, we can utilize an external ControlNet to guide the textures aligned with the input mesh.
</p> -->
<p> <br/> </p>
<!-- Results -->
<h2 class="text-secondary"> Comparison: Image to 3D Asset Generation </h2>
<hr/>
<div class="container-fluid p-0">
<div class="row g-0">
<div class="col-2">
<table>
<tr>
<th>Input</th>
</tr>
</table>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<table>
<tr>
<th>Ours (~30 sec)</th>
</tr>
</table>
</div>
<div class="col-4">
<table>
<tr>
<th><a href="https://wukailu.github.io/Unique3D/">Unique3D</a> (~2 min)</th>
</tr>
</table>
</div>
<div class="col-4">
<table>
<tr>
<th><a href="https://stable-fast-3d.github.io/">SF3D</a> (~10 sec)</th>
</tr>
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style="width: 100%; height: 300px;">
</model-viewer>
<div style="text-align: center;">
<button class="btn btn-outline-dark btn-sm open-model-btn" data-target="chair_our-modal" style="display: none;">Expand</button>
<!-- Modal Content -->
<div id="chair_our-modal" class="mv-modal-box">
<model-viewer
id="model-viewer-chair_our-modal"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ours_sofa.glb"
alt="3D Model Chair_Ours"
camera-controls>
</model-viewer>
<button class="close-btn">Close</button>
</div>
</div>
</div>
<div class="col-4">
<model-viewer id="model-viewer-chair_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/sofa_u3d.glb"
alt="3D Model Chair_U3D"
lighting="none"
camera-orbit="0deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
<div style="text-align: center;">
<button class="btn btn-success btn-sm open-model-btn" data-target="chair_u3d-modal" style="display: none;">Expand</button>
<!-- Modal Content -->
<div id="chair_u3d-modal" class="mv-modal-box">
<model-viewer
id="model-viewer-chair_u3d-modal"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/sofa_u3d.glb"
alt="3D Model Chair_U3D"
camera-controls>
</model-viewer>
<button class="close-btn">Close</button>
</div>
</div>
</div>
<div class="col-4">
<model-viewer id="model-viewer-chair_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/sf3d_sofa.glb"
alt="3D Model Chair_SF3D"
lighting="none"
camera-orbit="0deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
<div style="text-align: center;">
<button class="btn btn-success btn-sm open-model-btn" data-target="chair_sf3d-modal" style="display: none;">Expand</button>
<!-- Modal Content -->
<div id="chair_sf3d-modal" class="mv-modal-box">
<model-viewer
id="model-viewer-chair_sf3d-modal"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/sf3d_sofa.glb"
alt="3D Model Chair_SF3D"
camera-controls>
</model-viewer>
<button class="close-btn">Close</button>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="carousel-item">
<div>
<div class="row g-0">
<div class="col-2">
<div class="portfolio-box">
<div class="polaroid">
<div class="aspect-ratio-box" style="padding-top: 2.5rem;">
<img class="img-fluid" src="assets/tigerc.png" alt="tiger input image">
</div>
</div>
</div>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<model-viewer id="model-viewer-tiger_our"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/tiger.glb"
alt="3D Model tiger_our"
lighting="none"
camera-orbit="20deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-tiger_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/tiger_u3d.glb"
alt="3D Model tiger_u3d"
lighting="none"
camera-orbit="-15deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-tiger_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/sf3d_tiger.glb"
alt="3D Model tiger_sf3d"
lighting="none"
camera-orbit="-15deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="carousel-item">
<div>
<div class="row g-0">
<div class="col-2">
<div class="portfolio-box">
<div class="polaroid">
<div class="aspect-ratio-box" style="padding-top: 4rem;">
<img class="img-fluid" src="assets/iornman.jpg" alt="ironman input image">
</div>
</div>
</div>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<model-viewer id="model-viewer-ironman_our"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ironman.glb"
alt="3D Model ironman_our"
exposure="1.3"
lighting="none"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-ironman_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ironman_u3d.glb"
alt="3D Model ironman_u3d"
lighting="none"
camera-orbit="-20deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-ironman_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ironman_sf3d.glb"
alt="3D Model ironman_sf3d"
lighting="none"
camera-orbit="-20deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="carousel-item">
<div>
<div class="row g-0">
<div class="col-2">
<div class="portfolio-box">
<div class="polaroid">
<div class="aspect-ratio-box" style="padding-top: 4rem;">
<img class="img-fluid" src="assets/ghost.png" alt="ironman input image">
</div>
</div>
</div>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<model-viewer id="model-viewer-ghost_our"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ghost.glb"
alt="3D Model ghost_our"
exposure="1.7"
lighting="none"
camera-orbit="30deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-ghost_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ghost_u3d.glb"
alt="3D Model ghost_u3d"
lighting="none"
camera-orbit="50deg 90deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-ghost_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/ghost_sf3d.glb"
alt="3D Model ghost_sf3d"
camera-orbit="230deg 90deg 5m"
lighting="none"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="carousel-item">
<div>
<div class="row g-0">
<div class="col-2">
<div class="portfolio-box">
<div class="polaroid">
<div class="aspect-ratio-box" style="padding-top: 4rem;">
<img class="img-fluid" src="assets/dino.png" alt="ironman input image">
</div>
</div>
</div>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<model-viewer id="model-viewer-dino_our"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/dino.glb"
alt="3D Model dino_our"
exposure="1.2"
lighting="none"
camera-orbit="0deg 85deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-dino_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/dino_u3d.glb"
alt="3D Model dino_u3d"
lighting="none"
camera-orbit="15deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-dino_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/dino_sf3d.glb"
alt="3D Model dino_sf3d"
lighting="none"
camera-orbit="15deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="carousel-item">
<div>
<div class="row g-0">
<div class="col-2">
<div class="portfolio-box">
<div class="polaroid">
<div class="aspect-ratio-box" style="padding-top: 4rem;">
<img class="img-fluid" src="assets/Groot.png" alt="ironman input image">
</div>
</div>
</div>
</div>
<div class="col-10">
<div class="row g-0">
<div class="col-4">
<model-viewer id="model-viewer-groot"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/groot.glb"
alt="3D Model groot"
exposure="1.2"
lighting="none"
camera-orbit="20deg 85deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-groot_u3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/groot_u3d.glb"
alt="3D Model groot_u3d"
lighting="none"
camera-orbit="20deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
<div class="col-4">
<model-viewer id="model-viewer-groot_sf3d"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/groot_sf3d.glb"
alt="3D Model groot_sf3d"
lighting="none"
camera-orbit="20deg 80deg 5m"
camera-controls
style="width: 100%; height: 300px;">
</model-viewer>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- Modal Backdrop -->
<div class="modal-backdrop"></div>
</div>
</div>
</div>
<p> <br/> </p>
<div class="justify-content">
<p>
We compare CaPa with state-of-the-art Image-to-3D methods.
Here, all the assets are converted to <em>polygonal mesh</em>, using its official code.
CaPa significantly outperforms both <em><strong>geometry stability</strong> and <strong>visual fidelity</strong></em>, especially for the back and side view.
</p>
</div>
<p> <br/> </p>
<h2 class="text-secondary"> Scalability & Adaptability </h2>
<hr/>
<h3 class="text-success"> PBR-aware 3D asset Generation </h3>
<div class="container-fluid p-0">
<div class="row g-0">
<model-viewer
id = "pbrViewer"
camera-controls
touch-action="pan-y"
skybox-image="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/spruit_sunrise_1k_HDR.hdr"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/armor_PBR.glb"
alt="3D Model Armor-PBR"
style="width: 100%; height: 400px;">
</model-viewer>
</div>
</div>
<!-- Light Selector -->
<div class="light-selector" style="margin-top: 10px;">
<label for="lightSelect"> <strong>Light Environment:</strong> </label>
<select id="lightSelect" style="font-size: 0.85rem;">
<option value="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/spruit_sunrise_1k_HDR.hdr">Env 1</option>
<option value="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/aircraft_workshop_01_1k.hdr">Env 2</option>
<option value="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/lebombo_1k.hdr">Env 3</option>
</select>
</div>
<div class="justify-content" style="display: none;">
<p>
Combined with the off-the-shelf color-to-PBR decomposition model (<em>e.g.,</em> <a href="https://zheng95z.github.io/publications/rgbx24">RGB-X</a>), CaPa's pipeline can generate high-quality PBR-aware 3D assets.
</p>
</div>
<br/>
<h3 class="text-success"> Texture Editing </h3>
<div class="container-fluid p-0">
<div class="row g-0">
<table>
<tr>
<th>Original</th>
<th>Edited w/ text prompt ("orange sofa, orange pulp")</th>
</tr>
</table>
<div class="col-lg-6 col-sm-6">
<model-viewer
id="model-viewer-chair_org"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/wchair_org.glb"
alt="3D Model Chair_Org"
lighting="none"
camera-controls
style="width: 100%; height: 400px;">
</model-viewer>
</div>
<div class="col-lg-6 col-sm-6">
<model-viewer
id="model-viewer-chair_edited"
src="https://huggingface.co/spaces/hhhwan/custom_gs/resolve/main/glbs/wchair_mandarin.glb"
alt="3D Model Chair_Edited"
lighting="none"
camera-controls
style="width: 100%; height: 400px;">
</model-viewer>
</div>
</div>
</div>
<div class="justify-content" style="display: none;">
<p>
CaPa's texturing stage can be further extended to the 3D texture editing from the text prompt.
</p>
</div>
<p><be/></p>
<h2 class="text-secondary"> Related Project </h2>
<hr/>
<a class="fw-bolder fs-4" href="https://ncsoft.github.io/ncresearch/3f0ba4889e331ddbed68c9dd48d845fa18d874de"> <em>Texture Copilot</em> </a>
<div class="video-container">
<iframe width="540" height="360" src="https://www.youtube.com/embed/HvyPxxDzrwo?si=fvLPdWsv613WCRTu" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe>
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</div>
</div>
</div>
</section>
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