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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<!-- Meta tags for social media banners, these should be filled in appropriatly as they are your "business card" -->
<!-- Replace the content tag with appropriate information -->
<meta name="description"
content="We introduce IDEA-Bench, a one-stop library to standardize the inference and evaluation of all the conditional image generation models.">
<meta property="og:title" content="IDEA-Bench: : How Far are Generative Models from Professional Designing?" />
<meta property="og:description"
content="A one-stop library to standardize the inference and evaluation of all the conditional image generation models." />
<meta property="og:url" content="https://ali-vilab.github.io/IDEA-Bench-Page/" />
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X630-->
<meta property="og:image" content="static/images/tasks_vis.png" />
<meta property="og:image:width" content="1200" />
<meta property="og:image:height" content="630" />
<meta name="twitter:title" content="IDEA-Bench: How Far are Generative Models from Professional Designing?">
<meta name="twitter:description"
content="A one-stop library to standardize the inference and evaluation of all the conditional image generation models.">
<!-- Path to banner image, should be in the path listed below. Optimal dimenssions are 1200X600-->
<meta name="twitter:image" content="static/images/tasks_vis.png">
<meta name="twitter:card" content="summary_large_image">
<!-- Keywords for your paper to be indexed by-->
<meta name="keywords" content="ideabench">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>IDEA-Bench</title>
<link rel="icon" type="image/x-icon" href="static/images/favicon_io/favicon.ico">
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<script type="text/javascript" charset="utf8" src="static/js/jquery.dataTables.js"></script>
<!-- 引入 ECharts 库 -->
<script src="https://cdn.jsdelivr.net/npm/echarts/dist/echarts.min.js"></script>
</head>
<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"> IDEA-Bench: How Far are Generative Models from
Professional Designing?</h1>
<img src="static/images/tasks_vis.png" width="100%" alt="IDEA-Bench" />
<div class="is-size-5 publication-authors">
<!-- Paper authors -->
<span class="author-block">
<sup>†</sup>Chen Liang,
</span>
<span class="author-block">
<sup>♠️</sup>Lianghua Huang,
</span>
<span class="author-block">
<sup>♣</sup>Jingwu Fang,
</span>
<span class="author-block">
<sup>♥</sup>Huanzhang Dou,
</span>
<span class="author-block">
<sup>♠️</sup>Wei Wang,
</span>
<span class="author-block">
<sup>♠️</sup>Zhi-Fan Wu,
</span>
<span class="author-block">
<sup>♠️</sup>Yupeng Shi,
</span>
<span class="author-block">
<sup>†</sup>Junge Zhang,
</span>
<span class="author-block">
<sup>♣</sup>Xin Zhao,
</span>
<span class="author-block">
<sup>♠️</sup>Yu Liu,
</span>
</div>
<div class="is-size-5 publication-authors">
<span class="author-block">
<sup>♠️</sup>Tongyi Lab,
<sup>†</sup>Institute of Automation, Chinese Academy of Sciences,
<sup>♣</sup>University of Sciense and Technology Beijing,
<sup>♥</sup>Zhejiang University
</span>
<span class="author-block"><small>[email protected], [email protected],
[email protected], [email protected]</small></span>
</div>
<div class="column has-text-centered">
<!-- <h2 class="title is-5">ICLR 2024</h2> -->
<div class="publication-links">
<span class="link-block">
<a href="https://huggingface.co/datasets/ali-vilab/IDEA-Bench" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span class="icon">
🤗
</span>
<span>Dataset</span>
</a>
</span>
<!-- Github link -->
<span class="link-block">
<a href="https://github.com/ali-vilab/IDEA-Bench" 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="https://arxiv.org/abs/2412.11767" 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>
<span class="link-block">
<a href="https://huggingface.co/spaces/ali-vilab/IDEA-Bench-Arena" target="_blank"
class="external-link button is-normal is-rounded is-dark">
<span>⚔️ Arena</span>
</a>
</span>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h2 class="title is-3 has-text-centered">Creative Task Definitions</h2>
<div class="columns is-centered is-multiline">
<!-- Task 1 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Package Rendering</h3>
<p>
<strong>Input:</strong> Concept image of product appearance before
rendering.<br>
<strong>Output:</strong> Realistic 3D rendered image in specific environments.
</p>
</div>
</div>
<!-- Task 2 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Storyboard Creation</h3>
<p>
<strong>Input:</strong> Character definition image or scene definition image<br>
<strong>Output:</strong> Sequential images that illustrate the storyline.
</p>
</div>
</div>
<!-- Task 3 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Dynamic Character Design</h3>
<p>
<strong>Input:</strong> Text description of character traits.<br>
<strong>Output:</strong> Animated character with multiple poses or expressions.
</p>
</div>
</div>
<!-- Task 4 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Layer Decomposition</h3>
<p>
<strong>Input:</strong> A single composite image and detailed layer description
(e.g., background, foreground objects).<br>
<strong>Output:</strong> Multiple images of separated layers that align with the
requirements.
</p>
</div>
</div>
<!-- Task 5 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Product Usage Scenario</h3>
<p>
<strong>Input:</strong> An image of a product with textual descriptions of
potential usage scenarios.<br>
<strong>Output:</strong> Realistic images that showcase the product in various
use-case scenarios.
</p>
</div>
</div>
<!-- Task 6 -->
<div class="column is-one-third">
<div class="box">
<h3 class="title is-5">Portrait Retouching</h3>
<p>
<strong>Input:</strong> A portrait image and a description of desired retouching
(e.g., lighting adjustments, skin smoothing, blemish removal).<br>
<strong>Output:</strong> A professionally retouched image with natural
enhancements.
</p>
</div>
</div>
</div>
<a href="https://huggingface.co/datasets/ali-vilab/IDEA-Bench" class="is-italic">Learn more...</a>
</div>
</div>
</div>
</div>
</section>
<!-- Paper abstract -->
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<h2 class="title is-3">Abstract</h2>
<div class="content has-text-justified">
<p>
Real-world design tasks - such as picture book creation, film storyboard development
using character sets, photo retouching, visual effects, and font transfer - are highly
diverse and complex, requiring deep interpretation and extraction of various elements
from instructions, descriptions, and reference images. The resulting images often
implicitly capture key features from references or user inputs, making it challenging to
develop models that can effectively address such varied tasks. While existing visual
generative models can produce high-quality images based on prompts, they face
significant limitations in professional design scenarios that involve varied forms and
multiple inputs and outputs, even when enhanced with adapters like ControlNets and
LoRAs. To address this, we introduce IDEA-Bench, a comprehensive benchmark encompassing
100 real-world design tasks, including rendering, visual effects, storyboarding, picture
books, fonts, style-based, and identity-preserving generation, with 275 test cases to
thoroughly evaluate a model's general-purpose generation capabilities. Notably, even the
best-performing model only achieves 22.48 on IDEA-Bench, while the best general-purpose
model only achieves 6.81. We provide a detailed analysis of these results, highlighting
the inherent challenges and providing actionable directions for improvement.
Additionally, we provide a subset of 18 representative tasks equipped with multimodal
large language model (MLLM)-based auto-evaluation techniques to facilitate rapid model
development and comparison.
</p>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- End paper abstract -->
<!-- Image carousel -->
<section class="hero">
<div class="hero-body">
<div class="container is-max-desktop">
<div class="columns is-centered">
<div class="column has-text-centered">
<div class="item">
<h2 class="title is-3">Construction Pipeline</h2>
<!-- Your image here -->
<img src="static/images/pipeline.png" alt="IDEA-Bench" />
<h2 class="subtitle">
Fig 1: <b>Dataset construction process of IDEA-Bench.</b> We categorize the task
data
from professional design websites and designers based on generative model
capabilities
and assign capability keywords to each category. For each specific task, we design
image
generation prompts and hierarchical evaluation questions. Evaluators then refine
these
evaluation questions on a representative subset.
</h2>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- End image carousel -->
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},
{
name: 'Style Transfer',
value: 1,
itemStyle: {
color: '#a43e2e' // 浅绿
}
}
]
},
{
name: 'Text Editing',
itemStyle: {
color: '#dd6606' // 中等海洋绿
},
children: [
{
name: 'Text Insertion',
value: 1,
itemStyle: {
color: '#983c30' // 海洋绿
}
},
{
name: 'Text Modification',
value: 1,
itemStyle: {
color: '#883938' // 浅绿
}
},
{
name: 'Text Removal',
value: 1,
itemStyle: {
color: '#673019' // 森林绿
}
},
{
name: 'Text Style Editing',
value: 1,
itemStyle: {
color: '#642508' // 草地绿
}
}
]
},
{
name: 'Panorama Generation',
value: 1,
itemStyle: {
color: '#c55530' // 森林绿
}
},
{
name: 'Special Effect Adding',
value: 1,
itemStyle: {
color: '#aa4221' // 浅绿
}
}
]
},
{
name: 'Text to Multi-image',
itemStyle: {
color: '#ca0018'
},
label: {
// 添加 label 属性以更改文本样式
show: true,
color: '#FFFFFF', // 文本颜色（例如白色）
fontSize: 12, // 字体大小（根据需求调整）
fontWeight: 'bold' // 可选：字体粗细
},
children: [
{
name: 'Animal Growth Process Generation',
value: 1,
itemStyle: {
color: '#883938'
}
},
{
name: 'Plant Growth Process Generation',
value: 1,
itemStyle: {
color: '#983c30'
}
},
{
name: 'Concept Visualization',
value: 1,
itemStyle: {
color: '#a94132'
}
},
{
name: 'Couple Icon Generation',
value: 1,
itemStyle: {
color: '#d2472b'
}
},
{
name: 'Drawing Process Generation',
value: 1,
itemStyle: {
color: '#d83f08'
}
},
{
name: 'Dynamic Character Design',
itemStyle: {
color: '#d31e25'
},
children: [
{
name: 'Expression Design',
value: 1,
itemStyle: {
color: '#8e0e39'
}
},
{
name: 'Pose Design',
value: 1,
itemStyle: {
color: '#8b2c37'
}
}
]
},
{
name: 'Historical Narrative Generation',
value: 1,
itemStyle: {
color: '#ca0018'
}
},
{
name: 'Movie Shots Generation',
value: 1,
itemStyle: {
color: '#cd002c'
}
},
{
name: 'Childrens Book Generation',
value: 1,
itemStyle: {
color: '#bf3e61'
}
},
{
name: 'Physical Laws Illustration',
value: 1,
itemStyle: {
color: '#d83759'
}
},
{
name: 'Style Group Generation',
itemStyle: {
color: '#d83661'
},
children: [
{
name: 'Abstract',
value: 1,
itemStyle: {
color: '#bf3e61'
}
},
{
name: 'Anime',
value: 1,
itemStyle: {
color: '#d8365f'
}
},
{
name: 'Creative',
value: 1,
itemStyle: {
color: '#de5266'
}
},
{
name: 'Cthulhu',
value: 1,
itemStyle: {
color: '#e16972'
}
},
{
name: 'Cyberpunk',
value: 1,
itemStyle: {
color: '#e37981'
}
},
{
name: 'Comic',
value: 1,
itemStyle: {
color: '#e78d97'
}
},
{
name: 'Oil Painting',
value: 1,
itemStyle: {
color: '#e78d97'
}
},
{
name: 'Pixel Art',
value: 1,
itemStyle: {
color: '#eda0aa'
}
},
{
name: 'Sketch',
value: 1,
itemStyle: {
color: '#f0b1ad'
}
},
{
name: 'Woodcut',
value: 1,
itemStyle: {
color: '#dec9cb'
}
}
]
}
]
},
{
name: 'Text to \n Image',
itemStyle: {
color: '#78338a'
},
label: {
// 添加 label 属性以更改文本样式
show: true,
color: '#FFFFFF', // 文本颜色（例如白色）
fontSize: 12, // 字体大小（根据需求调整）
fontWeight: 'bold' // 可选：字体粗细
},
children: [
{
name: 'Poster Generation',
value: 1,
itemStyle: {
color: '#b6376d'
}
},
{
name: 'Architectural Style Generation',
value: 1,
itemStyle: {
color: '#90435b'
}
},
{
name: 'Game UI Generation',
value: 1,
itemStyle: {
color: '#814a78'
}
},
{
name: 'Business Card Generation',
value: 1,
itemStyle: {
color: '#78497d'
}
},
{
name: 'Information Chart Generation',
value: 1,
itemStyle: {
color: '#67418b'
}
},
{
name: 'Interior Design Generation',
value: 1,
itemStyle: {
color: '#5b2e88'
}
},
{
name: 'Landmark Building Generation',
value: 1,
itemStyle: {
color: '#562080'
}
},
{
name: 'LOGO Generation',
value: 1,
itemStyle: {
color: '#4c4394'
}
},
{
name: 'Painting Generation',
value: 1,
itemStyle: {
color: '#4a4494'
}
},
{
name: 'Sculpture Generation',
value: 1,
itemStyle: {
color: '#464aa1'
}
},
{
name: 'Ticket Generation',
value: 1,
itemStyle: {
color: '#3b55a1'
}
}
]
},
{
name: '(Multi-)image to \n Multi-image',
itemStyle: {
color: '#0c77b0'
},
label: {
// 添加 label 属性以更改文本样式
show: true,
color: '#FFFFFF', // 文本颜色（例如白色）
fontSize: 12, // 字体大小（根据需求调整）
fontWeight: 'bold' // 可选：字体粗细
},
children: [
{
name: 'Animal Growth Process Generation',
value: 1,
itemStyle: {
color: '#465fa6'
}
},
{
name: 'Plant Growth Process Generation',
value: 1,
itemStyle: {
color: '#1f4794'
}
},
{
name: 'Real and Anime Interaction',
value: 3,
itemStyle: {
color: '#234480'
},
children: [
{
name: 'Mixed Portrait',
value: 1,
itemStyle: {
color: '#3c9cd3'
}
},
{
name: 'Anime Background',
value: 1,
itemStyle: {
color: '#85bfe7'
}
},
{
name: 'Anime Charcter',
value: 1,
itemStyle: {
color: '#161440'
}
}
]
},
{
name: 'Childrens Book Generation',
itemStyle: {
color: '#26416c'
},
children: [
{
name: 'Role Definition',
value: 1,
itemStyle: {
color: '#5078b8'
}
},
{
name: 'Scenario Definition',
value: 1,
itemStyle: {
color: '#26416c'
}
}
]
},
{
name: 'Creativity Transfer',
value: 1,
itemStyle: {
color: '#273665'
}
},
{
name: 'Layer Decomposition',
value: 1,
itemStyle: {
color: '#223162'
}
},
{
name: 'Lighting Effect Simulation',
value: 1,
itemStyle: {
color: '#192953'
}
},
{
name: 'Movie Shots Generation',
itemStyle: {
color: '#111d45'
},
children: [
{
name: 'Role Definition',
value: 1,
itemStyle: {
color: '#7fcdcc'
}
},
{
name: 'Scenario Definition',
value: 1,
itemStyle: {
color: '#b8e1e3'
}
}
]
},
{
name: 'Appearance Variants',
value: 1,
itemStyle: {
color: '#161440'
}
},
{
name: 'Interior Decoration Variants',
value: 1,
itemStyle: {
color: '#192953'
}
},
{
name: 'Multi View Transformation',
value: 1,
itemStyle: {
color: '#26416c'
}
},
{
name: 'Paintings Undo',
itemStyle: {
color: '#0c77b0'
},
children: [
{
name: 'From Finished Work',
value: 1,
itemStyle: {
color: '#9cd8d8'
}
},
{
name: 'From Semi-Finished Work',
value: 1,
itemStyle: {
color: '#bce3e3'
}
}
]
},
{
name: 'Product Usage Scenario',
value: 1,
itemStyle: {
color: '#3c9cd3'
}
},
{
name: 'Same Pose Generation',
value: 1,